Moving-object tracking with multi-laser range sensors for mobile robot navigation

被引：10

作者：

Hashimoto, Masafumi ^{[1
]}

Takahashi, Kazuhiko ^{[1
]}

Matsui, Yosuke ^{[2
]}

机构：

[1] Doshisha Univ, Dept Informat Syst Design Engn, Kyoto 602, Japan

[2] Toyota Ind Corp, Toyota L&F Co, Aichi, Japan

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-5 | 2007年

关键词：

mobile robot; multi-laser range sensors; moving-object tracking; Kalman filter; data association;

D O I：

10.1109/ROBIO.2007.4522195

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a method for moving-object tracking with in-vehicle 2D-laser range sensors (LRS). Since a sensing area of the LRS is limited in orientation, mobile robot is equipped with multi-LRS's for omnidirectional sensing. In order for moving-object tracking by multi-LRS's cooperation, the coordinate frames of the multi-LRS's are calibrated based on Kalman filter and chi-hypothesis testing. The moving-object tracking is achieved by Kalman filter, Covariance Intersection and the assignment algorithm based data association. A rule based track management system is embedded into the tracker in order to improve the tracking performance. The experimental result of three people tracking in indoor environments validates the proposed method.

引用

页码：399 / 404

页数：6

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