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Mobile robot pose estimation using laser scan matching based on Fourier Transform

Xiaoyong Wang, Yunyi Jia, Ning Xi, Jiuju Zhen, Feng Xu

发表年份
2013
引用次数
3

摘要

Pose estimation problem is a key problem for a mobile robot system. In this paper, a new pose estimation method for the mobile robot is presented based on 2D (two dimensional) laser range finder. To get the increments between reference scan and current scan, a scan matching algorithm based on 1D Fourier Transform is presented. It is different from other methods. Because of 1D Fourier-transform-based and point-point matching, it is no need to extract features from environment and have high anti-noise and low computational cost. To get the pose of the mobile robot in the world coordinates, a pose estimation model is proposed. Finally, the proposed method is tested on the experimental platform in an indoor environment. The experimental results demonstrated its effectiveness.

关键词

Computer visionPoseArtificial intelligenceMobile robotComputer scienceRobotFourier transformMatching (statistics)3D pose estimationNoise (video)

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