Paper Title:
Localization for a Rescue Robot Based on NDT Scan Matching
  Abstract

This paper studied the localization problem for a rescue robot based on laser scan matching and extended Kalman filtering (EKF). Scan matching method based on normal distribution transform (NDT) can avoid hard feature extraction problem by estimation of the probability distribution of laser scan data and localization can be achieved using correlation of the NDT. Based on NDT scan matching, the NDT-EKF algorithm is proposed , which realizes fast and precise localization in rescue environment by fusing odometery data and scan matching together. The NDT-EKF algorithm has been extensively tested and experimental results show its effectiveness and robustness.

  Info
Periodical
Key Engineering Materials (Volumes 439-440)
Edited by
Yanwen Wu
Pages
445-450
DOI
10.4028/www.scientific.net/KEM.439-440.445
Citation
J. L. Li, J. H. Bao, Y. Yu, "Localization for a Rescue Robot Based on NDT Scan Matching", Key Engineering Materials, Vols. 439-440, pp. 445-450, 2010
Online since
June 2010
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Price
$32.00
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