Humans and AIs both need a safety net. This talk presents the latest development of a LiDAR-only safety net as an active safety solution for autonomous driving systems and human drivers. With its redundancy of ML-based and geometric detection it gives optimal performance for comfort applications as well as eliminating algorithmic false positives and false negatives for safety applications.
In this session, you will find answers to questions such as:
- What motivates the need for a safety net?
- What are the requirements for a safety net?
- How to build an automotive safety net from LiDAR?
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