A simple, space-time-symmetric collision avoidance method for autonomous vehicles

Kenichi Matsumoto, M. Rude
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引用次数: 1

Abstract

This paper summarizes a previously developed space-time avoidance method, which applies to autonomous vehicles with temporal uncertainty, and which eliminates a collision threat by shifting vehicle's trajectory laterally as well as temporally. The shift parameters are obtained from simple geometric operations in metric 3D space-time. Though safe and simple, this method lacks efficiency for systems with little temporal uncertainty: the achieved planar collision distance is sometimes much larger than required. Therefore, this paper further proposes a specific, efficient solution for the case of 2 vehicles meeting without temporal uncertainty. Experimental results are presented in which the vehicles collide, or avoid each other mainly laterally or temporally, and by a mixture of both, depending on the choice of the time scaling factor.
一种简单的、时空对称的自动驾驶汽车避碰方法
本文总结了前人提出的一种时空回避方法,该方法适用于具有时间不确定性的自动驾驶汽车,通过横向和时间上的轨迹转移来消除碰撞威胁。位移参数在三维度量时空中通过简单的几何运算得到。这种方法虽然安全、简单,但对于时间不确定性小的系统来说,效率不高:所获得的平面碰撞距离有时比要求的要大得多。因此,本文进一步针对两车相遇的情况,提出了一种具体、高效的无时间不确定性的解决方案。根据时间尺度因子的选择,给出了车辆碰撞或相互避免的实验结果,主要是横向或暂时性的,以及两者的混合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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