Highway-Driving with Safe Velocity Bounds on Occluded Traffic
Limited visibility and sensor occlusions pose pressing safety challenges for advanced driver-assistance systems (ADAS) and autonomous vehicles (AVs). In this work, our pursuit was to strike a balance: a method that ensures safety in occluded scenarios while preventing overly cautious behavior. We ar...
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| Published in | 2024 IEEE International Conference on Robotics and Automation (ICRA) pp. 6828 - 6835 |
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| Main Authors | , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
13.05.2024
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| Subjects | |
| Online Access | Get full text |
| DOI | 10.1109/ICRA57147.2024.10610904 |
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| Summary: | Limited visibility and sensor occlusions pose pressing safety challenges for advanced driver-assistance systems (ADAS) and autonomous vehicles (AVs). In this work, our pursuit was to strike a balance: a method that ensures safety in occluded scenarios while preventing overly cautious behavior. We argue that such approaches are crucial for AVs' future, particularly when navigating alongside human drivers on highways at high speeds. To this end, we used reachability analysis to find safe velocity bounds on occluded traffic participants. Compared to state-of-the-art methods, we achieved velocity increases in more than 60% of the 230 cut-in scenarios from the highD dataset, without sacrificing safety. |
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| DOI: | 10.1109/ICRA57147.2024.10610904 |