自主移动系统超声传感器评价误差检测模型

D. Bank
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引用次数: 8

摘要

本文提出了一种在部分已知或未知动态环境中实现自主移动系统安全导航的方法。在这种情况下,必须识别故障、失调和其他受影响的传感器(错误检测),并必须采取适当的故障纠正措施(错误恢复)。作为监测环境传感器状态的一般基础,建立了所谓的“误差检测模型”,该模型由激光测距仪和超声波传感器数据的子模型组成。利用所创建的模型,可以利用各种冗余,并进行一致性和可信性检查。错误检测模型用于基于环境建模和对期望传感器读数的假设的故障识别。
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An error detection model for ultrasonic sensor evaluation on autonomous mobile systems
This paper presents an approach to safe navigation of autonomous mobile systems within partially known or unknown dynamic environments. In this context, faulty, maladjusted and otherwise influenced sensors must be recognized (error detection), and adequate measures for failure correction (error recovery) must be taken. As a general basis for monitoring the state of environmental sensors, a so called "error detection model" was created, which consists of sub-models for data from laser range finders and ultrasonic sensors. With the aid of the created models, different kinds of redundancy can be utilized and consistency and plausibility checks can be carried out. The error detection model serves for failure recognition based on environment modeling and on hypotheses for expected sensor readings.
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