多样性(控制论)
计算机科学
极限(数学)
安全驾驶
自动驾驶
风险分析(工程)
运输工程
工程类
汽车工程
业务
人工智能
数学
数学分析
作者
Tiju Baby,Hatice Şahin,Jieun Lee,Yiqi Zhang,Sol Hee Yoon,Seul Chan Lee
标识
DOI:10.1145/3581961.3609834
摘要
Human drivers are being gradually replaced by highly automated driving systems, and this trend is expected to continue. Alternatives should be available if driving algorithms are incapable of resolving ambiguous driving scenarios. What occurs if an autonomous vehicle follows a vehicle traveling below the posted speed limit? Should the autonomous vehicle cross the leading vehicle or maintain a safe distance? We must have solutions to address such situations. The way an autonomous vehicle responds to a variety of ambiguous driving scenarios is crucial for legal and safety reasons. To improve future road safety and convenience, this workshop aims the enhancement a framework to develop various ambiguous driving scenarios and plausible actions of AV in each of them. The results of this workshop will be an aid to scientists in their strategic policymaking and algorithm design for AVs responses to ambiguous driving scenarios.
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