Simon Morris, CEO of CogniVue, presents the "Trends, Challenges and Opportunities in Vision-Based Automotive Safety and Autonomous Driving Systems" tutorial at the May 2015 Embedded Vision Summit.
The automotive industry has embraced embedded vision as a key safety technology. Many car models today ship with vision-based safety features such as forward collision avoidance and lane departure warning. New Euro-NCAP regulations are accelerating the adoption of vision-based safety features. And going forward, it’s clear that vision will plan a critical role in enabling vehicles to become more autonomous.
The increased safety and autonomy enabled by these systems brings obvious value to consumers and with roughly 90 million light vehicles manufactured per year, the opportunity is compelling for technology suppliers. But developers of automotive vision systems (and their suppliers) face tough challenges.
For example, to enable multiple safety features, vision systems are increasingly expected to run multiple sophisticated algorithms in parallel on high resolution, high-frame rate video streams. This requires an enormous amount of processing power—which must be delivered with extremely low power consumption. At the same time, new functional safety requirements intended to ensure reliability and security place additional burdens on system and component suppliers. These requirements will continue to become more challenging as safety features expand and as vehicles become increasingly autonomous.
This presentation provides an overview of embedded vision for automotive safety, focusing on key requirements, trends, and challenges—and ways that these challenges can be met.
