Multi-target threat assessment for automotive applications

A. Eidehall
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引用次数: 27

Abstract

Auto-brake systems have been on the market for a few years, but in order to continue improving their performance, multi-target threat assessment is a key component. The goal is to early be able to say that a collision can no longer be avoided by a steering maneuver, and thus braking can be started earlier. This is done by looking at all objects in the road scene, including other vehicles and barriers, and then looking for escape paths. The paper presents a computationally efficient way of determining whether an escape path can be found in a scenario with generally positioned objects, given the limited dynamics of the vehicle.
汽车应用的多目标威胁评估
自动制动系统在市场上已经出现了几年,但为了不断提高其性能,多目标威胁评估是一个关键组成部分。这样做的目的是让车辆能够尽早地意识到,无法再通过转向机动来避免碰撞,从而能够更早地启动刹车。这是通过观察道路场景中的所有物体,包括其他车辆和障碍物,然后寻找逃生路径来实现的。本文提出了一种计算效率高的方法,在给定车辆动力学有限的情况下,确定在一般定位物体的情况下是否可以找到逃生路径。
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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