15 November 2017 Environment exploration and SLAM experiment research based on ROS
Author Affiliations +
Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 106053K (2017) https://doi.org/10.1117/12.2295710
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China
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
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhize Li, Zhize Li, Wei Zheng, Wei Zheng, } "Environment exploration and SLAM experiment research based on ROS", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106053K (15 November 2017); doi: 10.1117/12.2295710; https://doi.org/10.1117/12.2295710
PROCEEDINGS
12 PAGES


SHARE
Back to Top