用于自动驾驶原型车的传感器融合算法的完整性概念

Grischa Gottschalg, M. Becker, S. Leinen
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引用次数: 2

摘要

对于自动驾驶来说,高度完整的定位信息是必不可少的。通常使用传感器融合算法来完成这项任务。在这项工作中,对自动驾驶中使用的这种算法的完整性概念的三种实现进行了比较。因此,推导了德国某研究项目中用于原型车自动驾驶功能的传感器融合算法的要求。回顾了已知的完整性概念。选择三个概念,包括保护水平的计算实现。使用我们的松散耦合GNSS/INS/Odometry融合算法获得的一组测量数据对它们进行评估。使用选定的一组调优参数,所有实现的保护级别根据指定的完整性风险约束给定测量中的水平位置误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrity Concept for Sensor Fusion Algorithms used in a Prototype Vehicle for Automated Driving
For automated driving high-integrity localization information is essential. Often sensor fusion algorithms are used to fulfill this task. In this work three implementations of integrity concepts for such algorithms used in automated driving are compared. Therefore, requirements for sensor fusion algorithms used for automated driving functions of a prototype vehicle in a German research project are derived. Known integrity concepts are reviewed. A selection of three concepts that include the computation of protection levels is implemented. They are evaluated using a set of measurement data obtained for our loosely coupled GNSS/INS/Odometry fusion algorithm. With the chosen set of tuning parameters, all implemented protection levels bound the horizontal position error in the given measurements according to the specified integrity risk.
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