A cross-correction LiDAR SLAM method for high-accuracy 2D mapping of problematic scenario-Reference-Cited by-同舟云学术

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A cross-correction LiDAR SLAM method for high-accuracy 2D mapping of problematic scenario

Published:2021-01 Issue: Volume:171 Page:367-384
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Jia Shoujun,Liu Chun,Wu Hangbin,Zeng Doudou,Ai Mengchi

Funder

National Natural Science Foundation of China

National Science and Technology Major Project

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference52 articles.

1. RANGE-robust autonomous navigation in GPS-denied environments;Bachrach;J. Field Robot.,2011

2. Human navigation and mapping with a 6DOF IMU and a laser scanner;Baglietto;Robot. Auton. Syst.,2011

3. Simultaneous localization and mapping (SLAM): Part II;Bailey;IEEE Robot. Automat. Magaz.,2006

4. An, S.-Y., Kang, J.-G., Lee, L.-K., Oh, S.-Y., 2012. Line segment-based indoor mapping with salient line feature extraction. Adv. Robot. 26(5-6) 437–460.

5. Becker, S., Peter, M., Fritsch, D., 2015. Grammar-supported 3d indoor reconstruction from point clouds for “As-Built” BIM, in: Pia15+Hrigi15 - Joint Isprs Conference, Vol. Ii, vol. 2-3, U. Stilla and C. Heipke, Eds. (ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, no. W4), 2015, pp. 17-24.

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