AUTONOMOUS & CONNECTED VEHICLES
Open standards for driverless cars Why unsafe autonomous vehicle systems are passing undetected during development. DR. LUCA CASTIGNANI MSC SOFTWARE
In February, McAfee exposed the alarming gap between the road test and real-world performance of autonomous vehicle sensors. In a demonstration, McAfee was able to fool a Tesla car into accelerating to 85 mph in a 35 mph zone using a piece of duct tape. Such a fault could affect the 40 million vehicles using similar image-recognition systems. More troubling, it is also likely that many other latent defects afflicting autonomous vehicle systems lie waiting to be exposed. So why do such serious safety defects continue to go undetected during design, engineering and pre-production? The answer is complex but lies partly in the litany of real-world events which simply cannot be covered with real-world road testing. Incidents such as a speed sign being altered with duct tape form what autonomous carmakers call “edge cases,” rare scenarios
Virtual worlds were once equated with computer simulations involving avatars and multiplayer video games. Now, the term is more likely to be associated with tools that create problems for autonomous vehicles to solve. This view is from VTD, for virtual test drive. It is used for the development of ADAS and automated driving systems as well as the core for training simulators. It can generate 3D content, simulate complex traffic scenarios, and simulate sensors. It is used in SiL, DiL, ViL and HiL applications and may also be operated as a co-simulation with third-party packages.
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DESIGN WORLD — EE NETWORK
8 • 2020
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