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Proceedings Paper

Environment exploration and SLAM experiment research based on ROS
Author(s): Zhize Li; Wei Zheng
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Paper Abstract

Robots need to get the information of surrounding environment by means of map learning. SLAM or navigation based on mobile robots is developing rapidly. ROS (Robot Operating System) is widely used in the field of robots because of the convenient code reuse and open source. Numerous excellent algorithms of SLAM or navigation are ported to ROS package. hector_slam is one of them that can set up occupancy grid maps on-line fast with low computation resources requiring. Its characters above make the embedded handheld mapping system possible. Similarly, hector_navigation also does well in the navigation field. It can finish path planning and environment exploration by itself using only an environmental sensor. Combining hector_navigation with hector_slam can realize low cost environment exploration, path planning and slam at the same time

Paper Details

Date Published: 15 November 2017
PDF: 12 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106053K (15 November 2017); doi: 10.1117/12.2295710
Show Author Affiliations
Zhize Li, National Univ. of Defense Technology (China)
Wei Zheng, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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