Situation assessment algorithm for a collision prevention assistant

J. Hillenbrand, K. Kroschel, V. Schmid
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引用次数: 43

Abstract

In this paper, we present the concept of a collision prevention assistant, a system that we believe can significantly contribute to road safety. We propose a new situation assessment algorithm which is tailored to the action of braking and that further accounts for the nonlinearities that arise when vehicles cut out or come to a standstill. The effect of sensor uncertainty on the performance of the proposed algorithm is modelled using a Markov chain and analyzed by means of a Monte Carlo simulation on a typical traffic situation.
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一种防碰撞助手的态势评估算法
在本文中,我们提出了一个碰撞预防助手的概念,我们认为这个系统可以显著地促进道路安全。我们提出了一种新的情况评估算法,该算法针对制动的作用进行了定制,并进一步解释了车辆在切断或停滞时产生的非线性。利用马尔可夫链对传感器不确定性对算法性能的影响进行了建模,并通过典型交通情况的蒙特卡罗仿真进行了分析。
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