背景(考古学)
碰撞
避碰
计算机科学
相关性(法律)
工程类
风险分析(工程)
计算机安全
医学
古生物学
政治学
法学
生物
作者
J. Hillenbrand,A. Spieker,Kristian Kroschel
出处
期刊:IEEE Transactions on Intelligent Transportation Systems
[Institute of Electrical and Electronics Engineers]
日期:2006-12-01
卷期号:7 (4): 528-540
被引量:186
标识
DOI:10.1109/tits.2006.883115
摘要
This paper deals with the problem of decision making in the context of forward collision mitigation system design. The authors present a multilevel collision mitigation (CM) approach that allows a flexible tradeoff between potential benefit and the risk associated with driver acceptability and product liability. Due to its practical relevance, algorithms that allow for an efficient incorporation of both sensor and prediction uncertainties are further outlined. The performance tradeoffs that come along with different parameterizations are investigated by means of stochastic simulations on three dangerous traffic situations, namely 1) rear-end collisions due to an unexpected braking, 2) cutting-in vehicles, and 3) crossing traffic at intersections. The results show that an overly conservative CM system sacrifices much of its potential benefit. However, it is pointed out that the vision of accident-free driving can be achieved only through cooperative driving strategies
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