Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety

被引:37
作者
Koopman, Philip [1 ,2 ]
Osyk, Beth [1 ,2 ]
Weast, Jack [1 ,2 ]
机构
[1] Edge Case Res, Pittsburgh, PA 15201 USA
[2] Intel, Chandler, AZ 85226 USA
来源
COMPUTER SAFETY, RELIABILITY, AND SECURITY, SAFECOMP 2019 | 2019年 / 11698卷
关键词
Autonomous vehicle safety; RSS; Operational design domain;
D O I
10.1007/978-3-030-26601-1_17
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The Responsibility-Sensitive Safety (RSS) model offers provable safety for vehicle behaviors such as minimum safe following distance. However, handling worst-case variability and uncertainty may significantly lower vehicle permissiveness, and in some situations safety cannot be guaranteed. Digging deeper into Newtonian mechanics, we identify complications that result from considering vehicle status, road geometry and environmental parameters. An especially challenging situation occurs if these parameters change during the course of a collision avoidance maneuver such as hard braking. As part of our analysis, we expand the original RSS following distance equation to account for edge cases involving potential collisions mid-way through a braking process.
引用
收藏
页码:245 / 253
页数:9
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