Showing posts with label QNX OS. Show all posts
Showing posts with label QNX OS. Show all posts

Video: Paving the way to an autonomous future

Lynn Gayowski
Lynn Gayowski
CES 2016 is now underway, and our kickoff to the year wouldn’t be complete without a behind-the-scenes look at the making of our new technology concept vehicle and updated reference vehicle.

The video below follows the journey of building our vehicles for CES 2016 and highlights the technologies we’re using to speed progress towards automated driving — and the list of tech that QNX covers is impressive! It includes advanced driver assistance systems (ADAS), V2X, and augmented reality, not to mention digital instrument clusters, in-car communication, and infotainment:



QNX Software Systems continues to innovate in automotive, with a vision for the evolution of automated driving and a trusted foundation for building reliable, adaptable systems. At risk of giving away the big finale, I think John Wall, head of QNX, sums up perfectly what QNX is on target for in the automotive industry: “We will dominate the cockpit of the car.” It’s a bold statement but we’re already amassing some imposing stats that back this up:

QNX announces new platforms for automated driving systems and in-car acoustics

Paul Leroux
Every year, at CES, QNX Software Systems showcases its immense range of solutions for infotainment systems, digital instrument clusters, telematics systems, advanced driving assistance systems (ADAS), and in-car acoustics. This year is no different. Well, actually… let me take that back. Because this year, we are also announcing two new and very important software platforms: one that can speed the development of automated driving systems, and one that can transform how acoustics applications are implemented in the car.

QNX Platform for ADAS
The automotive industry is at an inflection point, with autonomous and semiautonomous vehicles moving from theory to reality. The new QNX Platform for ADAS is designed to help drive this industry transformation. Based on our deep automotive experience and 30-year history in safety-critical systems, the platform can help automotive companies reduce the time and effort of building a full range of ADAS and automated driving applications:
  • from informational ADAS systems that provide a multi-camera, 360° surround view of the vehicle…
  • to sensor fusion systems that combine data from multiple sources such as cameras and radar…
  • to advanced high-performance systems that make control decisions in fully autonomous vehicles



Highlights of the platform include:
  • The QNX OS for Safety, a highly reliable OS pre-certified at all of the automotive safety integrity levels needed for automated driving systems.
  • An OS architecture that can simplify the integration of new sensor technologies and purpose-built ADAS processors.
  • Frameworks and reference implementations to speed the development of multi-camera vision systems and V2X applications (vehicle-to-vehicle and vehicle-to-infrastructure communications).
  • Pre-integrated partner technologies, including systems-on-chip (SoCs), vision algorithms, and V2X modules, to enable faster time-to-market for customers.

This week, at CES 2016, QNX will present several ADAS and V2X demonstrations, including:
  • Demos that show how QNX-based ADAS systems can perform realtime analysis of complex traffic scenarios to enhance driver awareness or enable various levels of automated driving.
  • QNX-based V2X technology that allows cars to “talk” to each other and to traffic infrastructure (e.g. traffic lights) to prevent collisions and improve traffic flow.

To learn more, check out the ADAS platform press release, as well as the press release that provides a full overview of our many CES demos — including, of course, the latest QNX technology concept vehicle!

QNX Acoustics Management Platform
It’s a lesser-known fact, but QNX is a leader in automotive acoustics — its software for handsfree voice communications has shipped in over 40 million automotive systems worldwide. This week, QNX is demonstrating once again why it is a leader in this space, with a new, holistic approach to managing acoustics in the car, the QNX Acoustics Management Platform (AMP):

  • Enables automakers to enhance the audio and acoustic experience for drivers and passengers, while reducing system costs and complexity.
  • Replaces the traditional piecemeal approach to in-car acoustics with a unified model: automakers can now manage all aspects of in-car acoustics efficiently and holistically, for easier integration and tuning, and for faster time-to-production.
  • Reduces hardware costs with a new, low-latency audio architecture that eliminates the need for dedicated digital signal processors or specialized external hardware.
  • Integrates a full suite of acoustics modules, including QNX Acoustics for Voice (for handsfree systems), QNX Acoustics for Engine Sound Enhancement, and the brand new QNX In-Car Communication (ICC).

For anyone who has struggled to hold a conversation in a car at highway speeds, QNX ICC enhances the voice of the driver and relays it to loudspeakers in the back of the vehicle. Instead of shouting or having to turn around to be heard, the driver can talk normally while keeping his or her eyes on the road. QNX will demonstrate ICC this week at CES, in its latest technology concept car, based on a Toyota Highlander.

Read the press release to learn more about QNX AMP.



Bringing a bird’s eye view to a car near you

QNX and TI team up to enable surround-view systems in mass-volume vehicles

Paul Leroux
Uh-oh. You are 10 minutes late for your appointment and can’t find a place to park. At long last, a space opens up, but sure enough, it’s the parking spot from hell: cramped, hard to access, with almost no room to maneuver.

Fortunately, you’ve got this covered. You push a button on your steering wheel, and out pops a camera drone from the car’s trunk. The drone rises a few feet and begins to transmit a bird’s eye view of your car to the dashboard display — you can now see at a glance whether you are about to bump into curbs, cars, concrete barriers, or anything else standing between you and parking nirvana. Seconds later, you have backed perfectly into the spot and are off to your meeting.

Okay, that’s the fantasy. In reality, cars with dedicated camera drones will be a long time coming. In the meantime, we have something just as good and a lot more practicable — an ADAS application called surround view.

Getting aligned
Approaching an old problem from a
new perspective
. Credit: TI
Surround-view systems typically use four to six fisheye cameras installed at the front, back, and sides of the vehicle. Together, these cameras capture a complete view of the area around your car, but there’s a catch: the video frames they generate are highly distorted. So, to start, the surround-view system performs geometric alignment of every frame. Which is to say, it irons all the curves out.

Next, the system stitches the corrected video frames into a single bird’s eye view. Mind you, this step isn’t simply a matter of aligning pixels from several overlapping frames. Because each camera points in a different direction, each will generate video with unique color balance and brightness levels. Consequently, the system must perform photometric alignment of the image. In other words, it corrects these mismatches to make the resulting output look as if it were taken by a single camera hovering over the vehicle.

Moving down-market
If you think that all this work takes serious compute power, you’re right. The real trick, though, is to make the system affordable so that luxury car owners aren’t the only ones who can benefit from surround view.

Which brings me to QNX Software Systems’ support for TI’s new TDA2Eco system-on-chip (SoC), which is optimized for 3D surround view and park-assist applications. The TDA2Eco integrates a variety of automotive peripherals, including CAN and Gigabit Ethernet AVB, and supports up to eight cameras through parallel, serial and CSI-2 interfaces. To enable 3D viewing, the TDA2Eco includes an image processing accelerator for decoding multiple camera streams, along with graphics accelerators for rendering virtual views.

Naturally, surround view also needs software, which is where the QNX OS for Safety comes in. The OS can play several roles in surround-view systems, such as handling camera input, hosting device drivers for camera panning and control, and rendering the processed video onto the display screen, using QNX Software Systems’ high-performance Screen windowing system. The QNX OS for Safety complies with the ISO 26262 automotive functional safety standard and has a proven history in safety-critical systems, making it ideally suited for collision warning, surround view, and a variety of other ADAS applications.

Okay, enough from me. Let’s look at a video, hosted by TI’s Gaurav Agarwal, to see how the TDAx product line can support surround-view applications:



For more information on the TDAx product line, visit the TI website; for more on the QNX OS for Safety, visit the QNX website.

What does a decades-old thought experiment have to do with self-driving cars?

Paul Leroux
Last week, I discussed, ever so briefly, some ethical issues raised by autonomous vehicles — including the argument that introducing them too slowly could be considered unethical!

My post included a video link to the trolley problem, a thought experiment that has long served as a tool for exploring how people make ethical decisions. In its original form, the trolley problem is quite simple: You see a trolley racing down a track on which five people are tied up. Next to you is a lever that can divert the trolley to an empty track. But before you can pull the lever, you notice that someone is, in fact, tied up on the second track. Do you do nothing and let all 5 people die, or do you pull the lever and kill the one person instead?

The trolley problem has undergone criticism for failing to represent real-world problems, for being too artificial. But if you ask Patryk Lin, a Cal Tech professor who has delivered talks to Google and Tesla on the ethics of self-driving cars, it can serve as a helpful teaching tool for automotive engineers — especially if its underlying concept is framed in automotive terms.

Here is how he presents it:

“You’re driving an autonomous car in manual mode—you’re inattentive and suddenly are heading towards five people at a farmer’s market. Your car senses this incoming collision, and has to decide how to react. If the only option is to jerk to the right, and hit one person instead of remaining on its course towards the five, what should it do?”

Of course, autonomous cars, with their better-than-human driving habits (e.g. people tailgate, robot cars don’t) should help prevent such difficult situations from happening in the first place. In the meantime, thinking carefully through this and other scenarios is just one more step on the road to building fully autonomous, and eventually driverless, cars.

Read more about the trolley problem and its application to autonomous cars in a recent article on The Atlantic.

Speaking of robot cars, if you missed last week's webinar on the role of software when transitioning from ADAS to autonomous driving, don't sweat it. It's now available on demand at Techonline.

The ethics of robot cars

“By midcentury, the penetration of autonomous vehicles... could ultimately cause vehicle crashes in the U.S. to fall from second to ninth place in terms of their lethality ranking.” — McKinsey

Paul Leroux
If you saw a discarded two-by-four on the sidewalk, with rusty nails sticking out of it, what would you do? Chances are, you would move it to a safe spot. You might even bring it home, pull the nails out, and dispose of it properly. In any case, you would feel obliged to do something that reduces the probability of someone getting hurt.

Driver error is like a long sharp nail sticking out of that two-by-four. It is, in fact, the largest single contributor to road accidents. Which raises the question: If the auto industry had the technology, skills, and resources to build vehicles that could eliminate accidents caused by human error, would it not have a moral obligation to do so? I am speaking, of course, of self-driving cars.

Now, a philosopher I am not. I am ready to accept that my line of thinking on this matter has more holes than Swiss cheese. But if so, I’m not the only one with Emmenthal for brain matter. I am, in fact, in good company.

Take, for example, Bryant Walker-Smith, a professor in the schools of law and engineering at the University of South Carolina. In an article in MIT Technology Review, he argues that, given the number of accidents that involve human error, introducing self-driving technology too slowly could be considered unethical. (Mind you, he also underlines the importance of accepting ethical tradeoffs. We already accept that airbags may kill a few people while saving many; we may have to accept that the same principle will hold true for autonomous vehicles.)

Then there’s Roger Lanctot of Strategy Analytics. He argues that government agencies and the auto industry need to move much more aggressively on active-safety features like automated lane keeping and automated collision avoidance. He reasons that, because the technology is readily available — and can save lives — we should be using it.

Mind you, the devil is in the proverbial details. In the case of autonomous vehicles, the ethics of “doing the right thing” is only the first step. Once you decide to build autonomous capabilities into a vehicle, you often have to make ethics-based decisions as to how the vehicle will behave.

For instance, what if an autonomous car could avoid a child running across the street, but only at the risk of driving itself, and its passengers, into a brick wall? Whom should the car be programmed to save? The child or the passengers? And what about a situation where the vehicle must hit either of two vehicles — should it hit the vehicle with the better crash rating? If so, wouldn’t that penalize people for buying safer cars? This scenario may sound far-fetched, but vehicle-to-vehicle (V2X) technology could eventually make it possible.

The “trolley problem” captures the dilemma nicely:



Being aware of such dilemmas gives me more respect for the kinds of decisions automakers will have to make as they build a self-driving future. But you know what? All this talk of ethics brings something else to mind. I work for a company whose software has, for decades, been used in medical devices that help save lives. Knowing that we do good in the world is a daily inspiration — and has been for the last 25 years of my life. And now, with products like the QNX OS for Safety, we are starting to help automotive companies build ADAS systems that can help mitigate driver error and, ultimately, reduce accidents. So I’m doubly proud.

More to the point, I believe this same sense of pride, of helping to make the road a safer place, will be a powerful motivator for the thousands of engineers and development teams dedicated to paving the road from ADAS to autonomous. It’s just one more reason why autonomous cars aren’t a question of if, but only of when.

Digital instrument clusters and the road to autonomous driving

Guest post by Walter Sullivan, head of Innovation Lab, Silicon Valley, Elektrobit Automotive

Autonomous driving requires new user experience interfaces, always on connectivity, new system architectures and reliable security. In addition to these requirements, the real estate in the car is changing as we move towards autonomous driving, and the traditional display is being replaced by head up displays (HUD), digital instrument clusters, and other screens. The digital cluster is where automakers can blend traditional automotive status displays (such as odometer, speed, etc.) with safety features, entertainment, and navigation, providing a more personalized, safe, comfortable, and enjoyable driving experience.

For autonomous vehicles, the human-machine interface (HMI) will change with the level of autonomy. Until vehicles are fully autonomous, all the traditional functions of the in-car HMI must be covered and driver distraction needs to be minimized. As we progress through piloted drive towards full autonomy, additional functions are taking center stage in the instrument cluster: driver assistance (distance to vehicle in front, speed limit, optimized time to destination/fuel consumption, object detection, etc.).

The digital instrument cluster brings a number of benefits to the driver experience including:
  • Comfort: The more information that a driver has about the route, right before his or her eyes, the more comfortable the drive. Digital clusters that provide map data, not just routing guidance but information on the nearest gas station, traffic, upcoming toll roads, etc., give the most comfort by empowering the driver with the information needed to get to the destination quickly and safely.
  • Safety: Drivers benefit from cars that know what’s on the road ahead. Through electronic horizon-based features, clusters can display “predictive” driver-assistance information that delivers to the driver important messages regarding safety.
  • Entertainment: Consumers are looking for vehicles that allow them to transfer their digital lifestyle seamlessly into the driving experience. The cluster can enable such integration, allowing the driver to control a smartphone using the in-car system, stream music, make phone calls, and more.

As more software and technology enters the car and we move closer to the fully autonomous vehicle, the cluster will continue to be the main platform for HMI. Automakers are challenged to build the most user-friendly, personalized clusters they can, with today’s cars employing advanced visual controls that integrate 3D graphics and animation and even natural language voice control. Drivers will rely more heavily on the cluster to provide them information that ensures their safety and comfort during the ride.

Digital instrument cluster developed using EB technology, as shown in the QNX reference vehicle.

Curious about what this kind of technology looks like? Digital instrument clusters developed using Elektrobit (EB) Automotive software will be displayed at the QNX Software Systems (booth C92) during TU-Automotive Detroit, June 3-4. QNX will feature a demo cluster developed using EB GUIDE that integrates a simulated navigation route with EB street director, plus infotainment and car system data. You can also see EB technology in action in the QNX reference vehicle based on a Jeep Wrangler, in which EB street director and the award-winning EB Assist Electronic Horizon are both integrated in the digital cluster.


Walter Sullivan is head of Elektrobit (EB) Automotive’s newly established Silicon Valley Innovation Lab, responsible for developing and leading the company’s presence in Silicon Valley, as well as building and fostering strategic partnerships around the globe.

Visit Elektrobit here.

Reimagining digital instrument cluster design

Guest post by Jason Clarke, vice president, sales and marketing, Crank Software

Technology in cars has been advancing at an impressive rate. From rich infotainment systems to intelligent digital instrument clusters, today’s automobile has evolved to become a cool reality that many of us only envisioned as a possibility a few years ago. But while the technology has changed, the driver has stayed the same. Drivers still need to get from point A to point B as efficiently and safely as possible, while perhaps listening to some favorite road trip tunes on the journey.

What has changed for drivers is the sheer volume of information that is available while behind the wheel. Today’s vehicle can tell you more than the fact that you are desperately in need of finding the nearest gas station. It’s smart enough to let you know when you are getting close to hitting the neighbor’s garbage can… again. It can alert you to traffic pattern changes, road hazards, inclement weather, your affinity to your lead foot, and to the fact that your spouse is texting you to remind you to pick up the dry cleaning. It can also effortlessly re-route you back to the dry cleaners after you realize you’ve forgotten, providing you with helpful turn-by-turn navigation in your instrument cluster.

That’s a lot of information. And it’s only a small slice of what’s available to today’s driver. The simplicity, reliability, and safety capabilities of platforms by QNX Software Systems make it a possible to have a wide range of technologies and features in a single vehicle, offering up an abundance of data for driver consumption.

So, how do we make this data useful for drivers? What do we need to consider when designing the UI for digital instrument clusters?

How much information does the driver REALLY need?
Information should be helpful, not intrusive or distracting from the task at hand — driving. The point of having more data available to drivers isn’t to show it all at the same time. That’s visually noisy and complex. Complex isn’t better; context is better. Turn-by-turn information can be displayed in the instrument cluster, based on communication from the navigation system. Video of the car’s surroundings can be displayed when parking assist services are engaged. Advanced Driver Assistance Systems (ADAS) can present in the cluster alerts to immediate hazards and objects.

Using tools that support rapid prototyping of design scenarios empowers teams to deliver the best user experience possible, serving up only the most relevant information. Using Storyboard Suite from Crank Software, teams can quickly cycle through design prototypes and perform testing on real hardware, focusing on the needs of the driver.

How do we best visualize the data?
It’s critical that drivers see and interpret displayed information as easily and quickly as possible. Clear visual representation of data is required, so it’s important to keep design considerations at the forefront in the development process. This is where the graphic designer comes in.

Crank Software’s Storyboard Suite allows the graphic designer to be integrated into the development process from concept to final HMI delivery, working in parallel with the engineers to ensure that fine details and subtle design nuances aren’t lost. With Storyboard Suite, designers don’t hand over a mockup to a developer to visually represent with code and then walk away. As the graphics change and evolve to satisfy usability requirements, the designer stays engaged throughout the entire process, helping to deliver a polished HMI.

Automotive cluster designed and developed with Crank Software Storyboard Suite, running on QNX Neutrino OS

Can we respond quickly to design change?
Remaining focused on the usability of the end design is critical to ensuring the safest driving experience. Delivering a high-performance, user-centric HMI requires testing, design refinements, retesting, and even further changes. This isn’t a linear process. While iterative process is important, it’s often cost prohibitive because it can introduce lengthy redesign cycles. Storyboard Suite provides teams the functionality to prototype and iterate through designs easily, using features such as Photoshop Re-import to quickly evaluate design changes on hardware and shorten development cycles. In addition, support for collaboration enables teams to share design and development work, thereby reducing the load on individuals and further optimizing time and resources.

A faster development process coupled with a user-focused end design is the key to delivering a highly usable and safe digital instrument cluster to market on schedule and within budget.

A digital instrument cluster developed with Storyboard Suite will be on display at TU-Automotive Detroit in the QNX Software Systems booth, #C92, and the Crank Software booth, #C113. Check out a previous Crank Software and QNX Software Systems collaboration with a Storyboard Suite UI in a QNX technology concept car.


Jason Clarke has over 15 years of experience in the embedded industry, in roles that span development, sales, and marketing. Jason heads up Crank Software’s marketing and sales initiatives.

Visit Crank Software here.


Top 5 challenges of digital instrument clusters

Guest post by Olli Laiho, director, product marketing, Rightware

Digitalization of the modern car is progressing at breakneck speed, with research showing that over 70% of cars will ship with a digital display in the cluster by 2017 (Automotive User Interfaces 2014, IHS Automotive, 2014). While digital user interfaces have long been available in the center stack of the vehicle, they are now quickly making their way into the heart of the car’s dashboard — the instrument cluster. However, the migration from traditional, physical instrumentation to the digital Human Machine Interface (HMI) is posing various challenges for auto manufacturers. Here are the top five challenges Rightware is seeing today.

1. Deliver a winning user experience
With the digital cluster, auto manufacturers must deliver a user experience that makes consumers insist on having a digital cluster and makes them think they could never live without one. The car companies need to increase their investment in digital user experience design in order to provide consumers with a digital driving experience they’ll love.

User experience is all about... the user! With the help of target group research, auto manufacturers need to find the key use cases and features for different buyer profiles. While more senior buyers appreciate a digital design featuring traditional big gauges and needles combined with maps in the middle, millennials long for a cluster that connects them with their personal data at the right time, while having a modern look and feel with a real wow effect.

QNX Software Systems' technology concept car 2014 based on the Mercedes CLA 45, featuring a cluster created with Rightware Kanzi®

2. Find the right design-cost-performance combination
In creating HMIs such as digital clusters, finding the right balance among design, cost, and performance becomes essential. It’s all about:

Design — Delivering a stunning user experience
Cost — Minimizing software development, hardware, and maintenance costs
Performance — Choosing the right OS, System-on-a-Chip (SoC), etc.

Automotive user interface designers need to learn to work with the capabilities of the hardware and software platform of the cluster in mind. Designers need to create user experiences that strengthen the auto manufacturer’s brand image while still being possible to implement with the chosen tool chain and hardware and software platforms.

Choosing the SoC that can deliver the best user experience at the best price is essential. While proper automotive SoC benchmarking tools are not yet available in the market, auto manufacturers need to invest in their own measurements and trials for finding the right cost/performance level of the SoC for their project.

QNX Software Systems' technology concept car 2015 based on the Maserati Quattroporte, showing
system diagnostics in the cluster created with Rightware Kanzi

3. Reduce development time
Consumers have become accustomed to having access to the latest technology and innovations on their mobile devices. That expectation has now extended to HMIs in the car.

To meet consumer expectations, the automotive industry must shorten the development time of new vehicles and determine how to provide compelling software upgrades during the car’s lifecycle. Digital clusters need to be designed for upgradeability from the ground up. Through upgrades, the cluster should provide the necessary access to new app platforms and innovations. Streamlining the software development process and choosing the right tool chain for HMI development is key to creating HMIs faster and with more valuable features.

4. Accelerate update cycles

Consumers utilize their mobile devices daily and have learned to expect a constant update cycle that brings new features and enhancements to their device. This “update drug” has created a trend where the customer is waiting for the next update to their beloved devices — a customer that is always looking for more.

Until today, there have been few tangible software upgrades for a car during its lifetime. As an example, when you pick up your car from service, you’ll often see a line on the bill that says “software updates.” Leaving the garage, you can discern no difference in how the car behaves.

Auto manufacturers need a plan for providing consumers with constant software upgrades that give them value during the entire lifecycle of their vehicle. Upgrading the digital cluster doesn’t have to mean that it should look like next year’s model, but the upgrade should provide consumers with either features that add value or a clear, visual difference that they understand is an upgrade. Increasing the upgradeability of HMIs in the car will be a major opportunity for improving customer retention.

5. Establish design ownership
As automotive devices evolve into the digital age, they will also transform the way auto manufacturers create designs for their customers. Unlike a mobile device, HMI design will be specific not only to the manufacturer’s brand, but also to that model. Digital screens will give automotive UI designers the flexibility to create unique designs, and they will need full control of the UI framework to be able to deliver these stunning user experiences.

Consumers are increasingly connected 24/7 to ecosystems from companies such as Google and Apple. Due to the increase in consumer demand, these technologies are also making their way into the car cockpit in various forms — from simple content integration (SMS, mail, media) to sandboxed but comprehensive solutions like Apple CarPlay and Android Auto.

Automotive companies must invest in creating branded digital user experiences that can rival and exceed any third-party designs in the vehicle. They should invest in a UI solution and operating system that can deliver the design as intended.

Audi Q7 Virtual Cockpit, running on QNX Neutrino OS, featuring a cluster created with Rightware Kanzi



Visit Rightware at TU-Automotive Detroit (booth #C115) to witness next-generation HMI demos built with Kanzi and a first chance to see a brand new Kanzi product. You’ll also find Rightware’s technology in the QNX booth (#C92).



Olli Laiho has been working in software development for over 15 years. An avid car enthusiast, Olli heads Rightware’s global marketing activities.

The Rightware Kanzi UI Solution and the QNX Neutrino OS can already be found together in several vehicles, including the Audi TT, Audi Q7, and the Audi R8. Rightware has created several digital clusters for QNX technology concept cars, including the 2014 Mercedes CLA 45 and the 2015 Maserati Quattroporte.

Visit Rightware here.


Bringing safety assurance to automotive instrument clusters

Guest post by Chris Giordano, director of global business and software support, DiSTI Corporation

Digital instrument clusters in automobiles are here and almost any aviator could tell you this change was coming. Since the 1970s pilots have benefited from the use of digital screens in the cockpit to depict and convey aircraft status information.

The technology came as a response to the growing number of elements that were competing for space within the cockpit and for the pilot’s attention. What was needed was a way to process the raw aircraft system and flight data into an easy-to-understand picture of the aircraft’s situation: position, orientation, altitude, speed. Engineers at NASA Langley Research Center teamed with industry partners to develop the display concepts that would become the foundation of today’s primary flight displays (PFD).

Notional example of a primary flight display

By the early 1980s, as software continued to replace the functionality found in hardware components, certification had become more complicated. Potential flaws could be prevalent in both the hardware and the software. To alleviate this problem, standards for software development for aircraft systems emerged. In the U.S., DO-178 became the standard and the Europeans ratified the ED-12 equivalent. These standards not only took a logical assessment and validation of the input and output of a system, but dove further into the development cycle to prove that procedures were in place to prevent and minimize risk of a system failure. As a result, whenever a passenger walks down the jetway and onto their flight, these software standards help ensure they arrive safely.

In the past decade the automotive industry has progressed through a similar expansion in software use. Today, electronics and software drive 90% of all innovation. Electronics and software also determine up to 40% of the vehicle’s development costs. Anywhere from 50% to 70% of the development costs for an Electronic Control Unit (ECU) are related to software (Challenges in Automotive Software Engineering, Manfred Broy, Institut für Informatik Technische Universität München, 2006). New vehicles are monitoring complex engines, providing route guidance, communicating with other networks, avoiding accidents, and serving up media. Each new feature adds to system complexity, furthering the need to use software development best practices in order to avoid a big bowl of spaghetti code.

Notional example of an advanced instrument cluster start-up system check

The need for safety becomes more prevalent in the embedded system software as graphics-based instrument clusters continue to replace traditional analog-based gauge clusters. Enter the ISO 26262 standard for functional safety of electrical and electronic components in production passenger vehicles. Formally released in November 2011, the standard establishes the state-of-the-art for the automotive industry and assures the functional safety of these systems.

By using the QNX Neutrino OS and the DiSTI GL Studio toolkit, a development team can reduce the time and effort required to certify their solution to the automotive ISO 26262 functional safety standard up to Automotive Safety Integrity Level D (ASIL D), the highest classification of safety criticality defined by the ISO 26262 standard. This compliance allows automakers and Tier 1s to use this solution to meet safety certification requirements within the scope they choose.

This QNX Neutrino OS and DiSTI GL Studio solution will be on display at this year’s TU-Automotive Detroit. Check it out in the QNX booth, #C92 and the DiSTI booth, #A21.

Visit the DiSTI blog here.


Chris Giordano has been developing and supporting commercial HMI software for over 16 years and has been the lead engineer or program manager for 58 different visual programs at The DiSTI Corporation. Currently, Chris manages DiSTI’s Global Business and Software Support and is the program manager for several automotive OEM and Tier 1 supplier companies that utilize DiSTI’s GL Studio for their HMI development efforts. Chris worked very closely with the team at DiSTI that took GL Studio through the ISO 26262 certification process.
 

Keeping it fresh for 35 years

By Megan Alink, Director of Marketing Communications for Automotive

Recently, my colleagues Paul Leroux and Matt Young showed off a shiny new infographic that enlightens readers to the many ways they encounter QNX-based systems in daily life (here and here). After three-and-a-half decades in business we’ve certainly been around the block a time or two, and you might think things are getting a bit stale. As the infographic shows, that couldn’t be further from the truth here at QNX. From up in the stars to down on the roads; in planes, trains, and automobiles (and boats too); whether you’re mailing a letter or crafting a BBM on your BlackBerry smartphone, the number and breadth of applications in which our customers deploy QNX technology is simply astounding.

For those who like some sound with their pictures, we also made a video to drive home the point that, wherever you are and whatever you do, chances are you’ll encounter a little QNX. Check it out:


QNX-powered Audi Virtual Cockpit shortlisted for MWC’s Global Mobile Awards

By Lynn Gayowski

2015 has just started and the QNX auto team is already off to the races. It was only last month at CES that the digital mirrors in our 2015 technology concept car were selected as a finalist for Engadget’s Best of CES Awards, in the category for best automotive tech. Now we’re excited to share some other big, award-related news. Drum roll, please… the QNX-powered Audi virtual cockpit in the 2015 Audi TT has been shortlisted for Mobile World Congress’ prestigious Global Mobile Awards, in the category for best mobile innovation for automotive!

The 2015 Audi TT features a one-of-a-kind, innovative, and just plain awesome, instrument cluster — the Audi virtual cockpit — powered by the QNX operating system. With the Audi virtual cockpit, everything is in view, directly in front of the driver. All the functions of a conventional instrument cluster and a center-mounted head unit are blended into a single, highly convenient, 12.3" display. This approach allows users to interact with their music, navigation, and vehicle information in a simple, streamlined fashion. As you may recall, the QNX-powered Audi virtual cockpit also took home first place in CTIA’s Hot for the Holidays Awards late last year.

Props also to our BlackBerry colleagues, who received 2 nominations themselves for the Global Mobile Awards: BlackBerry Blend in the best mobile service or app for consumers category, and Blackberry for BBM Protected in the best security/anti-fraud product or solution category.

The winners will be announced on March 3 at the Global Mobile Awards ceremony at Mobile World Congress. We can’t wait to hit Barcelona! In the meantime, check out the video below to see the Audi virtual cockpit in action.




Now with ADAS: The revamped QNX reference vehicle

Tina Jeffrey
Since 2012, our Jeep has showcased what QNX technology can do out of the box. We decided it was time to up the ante...

I walked into the QNX garage a few weeks ago and did a double take. The QNX reference vehicle, a modified Jeep Wrangler, had undergone a major overhaul both inside and out — and just in time for 2015 CES.

Before I get into the how and why of the Jeep’s metamorphosis, here’s a glimpse of its newly refreshed exterior. Orange is the new gray!



The Jeep debuted in June 2012 at Telematics Detroit. Its purpose: to show how customers can use off-the-shelf QNX products, like the QNX CAR Platform for Infotainment and QNX OS, to build a wide range of custom infotainment systems and instrument clusters, using a single code base.

From day one, the Jeep has been a real workhorse, making appearances at numerous events to showcase the latest HMI, navigation, speech recognition, multimedia, and handsfree acoustics technologies, not to mention embedded apps for parking, internet radio streaming, weather, and smartphone connectivity. The Jeep has performed dependably time and time again, and now, in an era where automotive safety is top of mind, we’ve decided to up the ante and add leading-edge ADAS technology built on the QNX OS.

After all, what sets the QNX OS apart is its proven track record in safety-certified systems across market segments — industrial, medical, and automotive. In fact, the QNX OS for Automotive Safety is certified to the highest level of automotive functional safety: ISO 26262, ASIL D. Using a pre-certified OS component is key to the overall integrity of an automotive system and makes system certification much easier.

The ultimate (virtual) driving experience
How better to showcase ADAS in the Jeep, than by a virtual drive? At CES, a 12-foot video screen in front of the Jeep plays a pre-recorded driving scene, while the onboard ADAS system analyzes the scene to detect lane markers, speed signs, and preceding vehicles, and to warn of unintentional lane departures, excessive speed, and imminent crashes with vehicles on the road ahead. Onboard computer vision algorithms from Itseez process the image frames in real time to perform these functions simultaneously.

Here’s a scene from the virtual drive, in which the ADAS system is tracking lane markings and has detected a speed-limit sign:



If the vehicle begins to drift outside a lane, the steering wheel provides haptic feedback and the cluster displays a warning:



The ADAS system includes Elektrobit EB Assist eHorizon, which uses map data with curve-speed information to provide warnings and recommendations, such as reducing your speed to navigate an upcoming curve:



The Jeep also has a LiDAR system from Phantom Intelligence (formerly Aerostar) to detect obstacles on the road ahead. The cluster displays warnings from this system, as well as warnings from the vision-based collision-detection feature. For example:



POSTSCRIPT:
Here’s a short video of the virtual drive, taken at CES by Brandon Lewis of Embedded Computing Design, in which you can see curve-speed warnings and lane-departure warnings:



Fast-boot camera
Rounding out the ADAS features is a rear-view camera demo that can cold boot in 0.8 seconds on a Texas Instruments Jacinto 6 processor. As you may recall, NHTSA has mandated that, by May 2018, most new vehicles must have rear-view technology that can display a 10-by-20 foot area directly behind the vehicle; moreover, the display must appear no more than 2 seconds after the driver throws the vehicle into reverse. Backup camera and other fastboot requirements such as time-to-last-mode audio, time-to-HMI visible, and time-to-fully-responsive HMI are critically important to automakers. Be sure to check out the demo — but don’t blink or you’ll miss it!

Full-featured infotainment
The head unit includes a full-featured infotainment system based on the QNX CAR Platform for Infotainment and provides information such as weather, current song, and turn-by-turn directions to the instrument cluster, where they’re easier for the driver to see.



Infotainment features include:

Qt-based HMI — Can integrate other HMI technologies, including Elektrobit EB Guide and Crank Storyboard.

Natural language processing (NLP) — Uses Nuance’s Vocon Hybrid solution in concert with the QNX NLP technology for natural interaction with infotainment functions. For instance, if you ask “Will I need a jacket later today?”, the Weather Network app will launch and provide the forecast.

EB street director — Provides embedded navigation with a 3D map engine; the map is synched up with the virtual drive during the demo.

QNX CAR Platform multimedia engine — An automotive-hardened solution that can handle:
  • audio management for seamless transitions between all audio sources
  • media detection and browsing of connected devices
  • background synching of music for instant media playback — without the need for the synch to be completed

Support for all smartphone connectivity options — DLNA, MTP, MirrorLink, Bluetooth, USB, Wi-Fi, etc.

On-board application framework — Supports Qt, HTML5, APK (for Android apps), and native OpenGL ES apps. Apps include iHeart, Parkopedia, Pandora, Slacker, and Weather Network, as well as a Settings app for phone pairing, over-the-air software updates, and Wi-Fi hotspot setup.

So if you’re in the North Hall at CES this week, be sure to take a virtual ride in the QNX reference vehicle in Booth 2231. Beneath the fresh paint job, it’s the same workhorse it has always been, but now with new ADAS tech automakers are thirsting for.

Beyond the dashboard: discover how QNX touches your everyday life

QNX technology is in cars — lots of them. But it’s also in everything from planes and trains to smart phones, smart buildings, and smart vacuum cleaners. If you're interested, I happen to have an infographic handy...

I was a lost and lonely soul. Friends would cut phone calls short, strangers would move away from me on the bus, and acquaintances at cocktail parties would excuse themselves, promising to come right back — they never came back. I was in denial for a long time, but slowly and painfully, I came to the realization that I had to take ownership of this problem. Because it was my fault.

To by specific, it was my motor mouth. Whenever someone asked what I did for a living, I’d say I worked for QNX. That, of course, wasn’t a problem. But when they asked what QNX did, I would hold forth on microkernel OS architectures, user-space device drivers, resource manager frameworks, and graphical composition managers, not to mention asynchronous messaging, priority inheritance, and time partitioning. After all, who doesn't want to learn more about time partitioning?

Well, as I subsequently learned, there’s a time and place for everything. And while my passion about QNX technology was well-placed, my timing was lousy. People weren’t asking for a deep dive; they just wanted to understand QNX’s role in the scheme of things.

As it turns out, QNX plays a huge role, and in very many things. I’ve been working at QNX Software Systems for 25 years, and I am still gobsmacked by the sheer variety of uses that QNX technology is put to. I'm especially impressed by the crossover effect. For instance, what we learn in nuclear plants helps us offer a better OS for safety systems in cars. And what we learn in smartphones makes us a better platform supplier for companies building infotainment systems.

All of which to say, the next time someone asks me what QNX does, I will avoid the deep dive and show them this infographic instead. Of course, if they subsequently ask *how* QNX does all this, I will have a well-practiced answer. :-)

Did I mention? You can download a high-res JPEG of this infographic from our Flickr account and a PDF version from the QNX website.



Stay tuned for 2015 CES, where we will introduce even more ways QNX can make a difference, especially in how people design and drive cars.

And lest I forget, special thanks to my colleague Varghese at BlackBerry India for conceiving this infographic, and for the QNX employees who provided their invaluable input.

A sweet ride? You’d better 'beleave' it

Is Autumn the best season for a long, leisurely Sunday drive? Well, I don’t know about your neck of the woods, but in my neck, the trees blaze like crimson, orange, and yellow candles, transfiguring back roads into cathedrals of pure color. When I see every leaf on every tree glow like a piece of sunlight-infused stained glass, I make a religious effort to jump behind the wheel and get out there!

Now, of course, you can enjoy your Autumn drive in any car worth its keep. But some cars make the ride sweeter than others — and the Mercedes S Class Coupe, with its QNX-powered infotainment system and instrument cluster, is deliciously caloric.

This isn’t a car for the prim, the proper, the austere. It’s for pure pleasure – whether you take pleasure in performance, luxury, or beauty of design. Or all three. The perfect car, in other words, for an Autumn drive. Which is exactly what the folks at Mercedes thought. In fact, they made a photo essay about — check it out on their Facebook page.


Source: Mercedes

Some forward-thinking on looking backwards

The first rear-view camera appeared on a concept car in 1956. It's time to go mainstream.

Until today, I knew nothing about electrochromism — I didn’t even know the word existed! Mind you, I still don’t know that much. But I do know a little, so if you’re in the dark about this phenomenon, let me enlighten you: It’s what allows smart windows to dim automatically in response to bright light.

A full-on technical explanation of electrochromism could fill pages. But in a nutshell, electrochromic glass contains a substance, such as tungsten trioxide, that changes color when you apply a small jolt of electricity to it. Apply a jolt, and the glass goes dark; apply another jolt, and the glass becomes transparent again. Pretty cool, right?

Automakers must think so, because they use this technology to create rear-view and side-view mirrors that dim automatically to reduce glare — just the thing when the &*^%$! driver behind you flips on his high-beams. Using photo sensors, these mirrors measure incoming light; when it becomes too bright, the mirror applies the requisite electrical charge and, voilà, no more fried retinas. (I jest, but in reality, mirror glare can cause retinal blind spots that affect driver reaction time.)

So why am I blabbing about this? Because electrochromic technology highlights a century-old challenge: How do you see what — or who — is behind your car? And how do you do it even in harsh lighting conditions? It’s a hard problem to solve, and it’s been with us ever since Dorothy Levitt, a pioneer of motor racing, counseled women to “hold aloft” a handheld mirror “to see behind while driving.” That was in 1906.

Kludges
For sure, we’ve made progress over the years. But we still fall back on kludges to compensate for the inherent shortcomings of placing a mirror meters away from the back of the vehicle. Consider, for example, the aftermarket wide-angle lenses that you can attach to your rear window — a viable solution for some vehicles, but not terribly useful if you are driving a pickup or fastback.

Small wonder that NHTSA has ruled that, as of May 2018, all vehicles under 10,000 pounds must ship with “rear visibility technology” that expands the driver’s field of view to include a 10x20-foot zone directly behind the vehicle. Every year, backover crashes in the US cause 210 fatalities and 15,000 injuries — many involving children. NHTSA believes that universal deployment of rear-view cameras, which “see” where rear-view mirrors cannot, will help reduce backover fatalities by about a third.

Buick is among the automotive brands that are “pre-complying” with the standard: every 2015 Buick model will ship with a rearview camera. Which, perhaps, is no surprise: the first Buick to sport a rearview camera was the Centurion concept car, which debuted in 1956:


1956 Buick Centurion: You can see the backup camera just above the center tail light.

The Centurion’s backup camera is one of many forward-looking concepts that automakers have demonstrated over the years. As I have discussed in previous posts, many of these ideas took decades to come to market, for the simple reason they were ahead of their time — the technology needed to make them successful was too immature or simply didn’t exist yet.

Giving cameras the (fast) boot
Fortunately, the various technologies that enable rear-view cameras for cars have reached a sufficient level of maturity, miniaturization, and cost effectiveness. Nonetheless, challenges remain. For example, NHTSA specifies that rear-view cameras meet a number of requirements, including image size, response time, linger time (how long the camera remains activated after shifting from reverse), and durability. Many of these requirements are made to order for a platform like the QNX OS, which combines high reliability with very fast bootup and response times. After all, what’s the use of backup camera if it finishes booting *after* you back out of your driveway?


Instrument cluster in QNX technology concept car displaying video from a backup camera.

Domo arigato, for self-driving autos

Lynn Gayowski
Lynn Gayowski
When talk moves to autonomous cars, Google's self-driving car is often the first project that springs to mind. However, there are a slew of automakers with autonomous or semi-autonomous vehicles in development — Audi, BMW, General Motors, Mercedes-Benz, and Toyota, to name a few. And did you know that QNX has been involved with autonomous projects since 1997?

Let's begin at the beginning. Obviously the first step is to watch the 1983 Mr. Roboto music video. To quote selectively, "I've come to help you with your problems, so we can be free." As Styx aptly communicated with the help of synthesizers, robots have the potential to improve our lives. Current research predicts autonomous cars will reduce traffic collisions and improve traffic flow, plus drivers will be freed up for other activities.

So let's take a look at how QNX has been participating in the progress to self-driving vehicles.



The microkernel architecture of the QNX operating system provides an exemplary foundation for systems with functional safety requirements, and as you can see from this list, there are projects related to cars, underwater robots, and rescue vehicles.

Take a look at this 1997 video from the California Partners for Advanced Transportation Technology (PATH) and the National Automated Highway System Consortium (NAHSC) showing their automated driving demo — the first project referenced on our timeline. It's interesting that the roadway and driving issues mentioned in this video still hold true 17 years later.



We're estimating that practical use of semi-autonomous cars is still 4 years away and that fully autonomous vehicles won't be available to the general public for about another 10 years after that. So stay tuned to the QNX Auto Blog. I'm already envisioning a 30-year montage of our autonomous projects. With a stirring soundtrack by Styx.

QNX-powered Audi MMI framework to support Android Auto

This just in: Audi has announced that its Audi MMI mobile media application framework, which is built on the QNX CAR Platform for Infotainment, will support the new Android Auto connectivity solution.

The new feature will allow drivers to access Android-device car apps using Audi MMI displays and controls, which Audi has optimized for safe and intuitive operation on the road.

Audi states that the MMI system will still maintain its compatibility with other smartphones. Moreover, drivers will be able to switch between the Android view and Audi infotainment functions, as desired.

Audi is a long-standing customer of QNX Software Systems. Audi systems based on QNX technology include the recent Audi Virtual Cockpit and Audi Connect with Google Earth.

Audi plans to introduce Android Auto support in all-new models launched in 2015. For the complete story on Audi support for Android Auto, read the Audi press release.

QNX helps drive new autonomous vehicle project

Have I ever mentioned the QNX-in-Education program? Over the decades, it has supported an array of university research projects, in fields ranging from humanoid robotics to autonomous aircraft. Harvard University, for example, has been a program member for more than 20 years, using QNX technology to measure and analyze ozone depletion in the stratosphere.

So, on the one hand, QNX Software Systems supports scientific and engineering research. On the other hand, it's a leader in automotive software. You know what that means: it was only a matter of time before those two passions came together. And in fact, QNX has just announced its role in DEEVA, a new autonomous car project from the Artificial Vision and Intelligent Systems Laboratory (VisLab) of the University of Parma.

A glimpse of DEEVA (Source VisLab).

The folks at VisLab already have several autonomous projects under the belts. Last year, for example, they launched a self-driving car that can negotiate downtown rush-hour traffic and complex situations like traffic circles, traffic lights, and pedestrian crossings. DEEVA incorporates the team's latest insights into autonomous drive and features a rich set of sensors that deliver a complete 3D view of the circumference of the vehicle.

With its 30-year history in safety-critical systems, QNX OS technology offers a natural choice for a project like DEEVA. According to Professor Alberto Broggi, president and CEO of VisLab, "in the design of our vehicle, we selected building blocks offering high reliability with proven safety records; the operating system powering the vital elements of the vehicle is one of those and is why we chose the QNX OS.”

The QNX OS controls several systems in DEEVA, including path and trajectory planning, realtime fusion of laser data and visual data, and the user interface.

You can read the press release here and see photos of DEEVA here

QNX reference vehicle makes stopover at FTF Americas 2012

Fresh off Telematics Detroit, the QNX reference vehicle is on the road again. And this time, it’s headed to the Freescale Technology Forum (FTF) in San Antonio.

Have you seen photos of the vehicle? If so, you'll know it's a specially modified Jeep Wrangler. From the outside, the Jeep stills looks the same, but beneath the hood, something has changed. For the first time, the Jeep’s head unit and instrument cluster, both based on the QNX CAR 2 application platform, are using Freescale i.MX 6 processors. And what better place than FTF to show off this new processor support?

Closeup of Jeep's instrument cluster. See previous post for more photos of vehicle.

As before, the reference vehicle will showcase several capabilities of the QNX CAR 2 platform, including:

  • auto-centric HTML5 framework
  • integration with a variety of popular smartphones
  • one-touch Bluetooth pairing with smartphones using NFC
  • ultra HD hands-free communication
  • DLNA support for phone- and home- based media
  • tablet-based rear-seat entertainment
  • reconfigurable digital instrument cluster
  • Wi-Fi hotspot

The vehicle will also demonstrate several popular third-party technologies, including Pandora, Slacker, and TuneIn Internet radio; TCS navigation; Weather Network; Best Parking; and Vlingo/AT&T Watson voice recognition.

What, more demos?
The reference vehicle isn't the only place to catch QNX technology at FTF. QNX will also showcase:

  • a 3D digital instrument cluster based on a Freescale i.MX 6 quad processor and the QNX Neutrino RTOS, and built with Elektrobit's EB GUIDE Human Machine Interface environment
  •  
  • a complete dashboard, including head unit and digital cluster, based on the QNX CAR 2 platform
  •  
  • demos for industrial controllers, medical devices, multi-core systems, and advanced graphics, all of which run on the QNX Neutrino RTOS and Freescale silicon

QNX at the podium
Did I mention? QNX experts will also in participate in several presentations and panels. Here's the quick schedule:

  • The HTML5 Effect: How HTML5 will Change the Networked Car — June 19, 2:00 pm, Grand Oaks Ballroom A
  •  
  • Using an IEC 61508-Certified RTOS Kernel for Safety-Critical Systems — June 20, 2:00 pm, Grand Oaks Ballroom P
  •  
  • Embedded Meets Mobility: M2M Considerations and Concepts — June 20, 5:15 pm, Grand Oaks Ballroom E
  •  
  • New System Design for Multicore Processors — June 21, 10:30 am, Grand Oaks Ballroom F

Visit the FTF website for details on these and other FTF presentations.

And if you're at FTF, remember to catch the QNX demos at pod numbers 1400 to 1405.
 

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