Risk-Aversive Behavior Planning under Multiple Situations with Uncertainty
作者： Florian Damerow , Julian Eggert
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摘要: This paper addresses the problem of future behavior evaluation and planning for upcoming ADAS, especially for inner city traffic scenarios. Situations in inner city traffic scenarios are generally highly complex and of high uncertainty. The behavior in such complex scenarios differs strongly depending on the actually occurring situation. In general the current situation can only be determined with high uncertainty based on current and past sensory measurements of the ego entity and the other involved entities. Additionally a situation can …
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researchgate.net 参考文章(12)
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