AUTOMOTIVE DESIGN
Increasing levels of autonomy in virtual validation
Safety is the
main purpose of ADAS software
automated driving and software- defined cars. “AI has unlocked new capabilities
for every industry, and we’re seeing its impact on ADAS and autonomous driving,” Gajendra says. “Driver- assistance packages incorporating AI are helping to improve road safety and the autonomous driving experience, but they also require significant compute and performance. These demands are becoming more complex and costly to address with monolithic chips, which has sparked the industry to explore new approaches to building silicon such as chiplets. Chiplets allow the stacking of multiple semiconductor dies, leading to denser silicon design that can increase performance and lower power consumption. This approach is helping address the unique and specific challenges of the automotive industry, enabling more innovative ADAS features.”
INFLUENCING BEHAVIOUR According to a study by the National Highway Traffic Safety Administration, an estimated 94% of serious car accidents are caused by human error. With statistics like this in mind, it’s important to consider how eyes-off and hands-off technology
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could potentially influence driver behaviour in the future. “Safety is the main purpose of
ADAS software – it was developed to help reduce traffic accidents through automated detection, navigation and avoidance features,” Follin says. “ADAS helps improve a vehicle’s awareness of its environment and aids its ability to respond to environmental factors within milliseconds, which helps heighten driver safety. Sensor technology (lidar, radar and cameras) plays a huge role in this, as different sensors work together to inform the vehicle of outside factors like pedestrians crossing the street, other
vehicles occupying blind spots, and lane departures. ADAS can reduce driver stress because of the way it improves comfort and convenience and responds to outside variables.” AVxcelerate Autonomy, Ansys’
end-to-end safety-driven toolchain, embodies this approach, combining statistics and simulation at scale to perform sensitivity and reliability analysis that is critical for the development of ADAS functions. Essentially, the platform enables car manufacturers to develop safe workflows for SAE L2/L2+/L3 sign- off processes and homologation. Leveraging expansive scenario
AVxcelerate Autonomy statistical reliability analysis
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