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Journal of Robotics
Volume 2011 (2011), Article ID 257852, 12 pages
http://dx.doi.org/10.1155/2011/257852
Research Article

A Light-and-Fast SLAM Algorithm for Robots in Indoor Environments Using Line Segment Map

1Department of Electrical Engineering, National Tsing-Hua University 101, Section 2, Kuang-Fu Road, Hsinchu 30013, Taiwan
2Department of Electrical Engineering, National Tsing-Hua University 720R, EECS Bldg, 101, Section 2, Kuang-Fu Road, Hsinchu 30013, Taiwan
3Department of Electrical Engineering, National Tsing-Hua University 818, EECS Bldg, 101, Section 2, Kuang-Fu Road, Hsinchu 30013, Taiwan

Received 19 January 2011; Accepted 15 March 2011

Academic Editor: Heinz Wörn

Copyright © 2011 Bor-Woei Kuo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Shuai Guo, Shu-Gen Ma, Bin Li, Ming-Hui Wang, and Yue-Chao Wang, “A Data Association Approach Based on Multi-rules in VorSLAM,” Acta Automatica Sinica, vol. 39, no. 6, pp. 883–894, 2013. View at Publisher · View at Google Scholar
  • Jacky Chow, Derek Lichti, Jeroen Hol, Giovanni Bellusci, and Henk Luinge, “IMU and Multiple RGB-D Camera Fusion for Assisting Indoor Stop-and-Go 3D Terrestrial Laser Scanning,” Robotics, vol. 3, no. 3, pp. 247–280, 2014. View at Publisher · View at Google Scholar
  • Fernando Carreira, Joao M. F. Calado, Carlos Cardeira, and Paulo Oliveira, “Enhanced PCA-Based Localization Using Depth Maps with Missing Data,” Journal Of Intelligent & Robotic Systems, vol. 77, no. 2, pp. 341–360, 2015. View at Publisher · View at Google Scholar
  • Jaehoon Jung, Sanghyun Yoon, Sungha Ju, and Joon Heo, “Development of Kinematic 3D Laser Scanning System for Indoor Mapping and As-Built BIM Using Constrained SLAM,” Sensors, vol. 15, no. 10, pp. 26430–26456, 2015. View at Publisher · View at Google Scholar
  • Marc J. Gallant, and Joshua A. Marshall, “The LiDAR compass: Extremely lightweight heading estimation with axis maps,” Robotics and Autonomous Systems, 2016. View at Publisher · View at Google Scholar