Obstacle Detection and Tracking Using Laser 2D

Danilo Habermann, Claudio Garcia
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引用次数: 12

Abstract

An obstacle detection and tracking system using a 2D laser sensor and the Kalman filter is presented. This filter is not very efficient in case of severe disturbances in the measured position of the obstacle, as for instance, when an object being tracked is behind a barrier, thus interrupting the laser beam, making it impossible to receive the sensor information about its position. This work suggests a method to minimize this problem by using an algorithm called Corrector of Discrepancies.
基于激光2D的障碍物检测与跟踪
提出了一种基于二维激光传感器和卡尔曼滤波的障碍物检测与跟踪系统。在障碍物的测量位置受到严重干扰的情况下,这种滤波器的效率不高,例如,当被跟踪的物体在障碍物后面时,激光束就会中断,从而无法接收到有关其位置的传感器信息。这项工作提出了一种方法,通过使用一种称为差异校正的算法来最小化这个问题。
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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