Title :
A Global Line Matching algorithm for 2D laser scan matching in regular environment
Author :
Qian Cheng ; Xu Yingqiu ; Hui Shen ; Yingzi Tan
Author_Institution :
RoboCup Res. Group, Southeast Univ., Nanjing, China
Abstract :
Some line matching algorithms have been proposed for the laser scan matching problem. But lots of them do the matching between current scan frame and the last one, rather than current frame and the global map. This work proposes a real-time laser scan matching method named Global Line Matching, which matches current scan frame to the global map, leading to a better result. This paper presents the algorithm in detail and shows some applications based on simultaneous localization and mapping (SLAM). Results on a simulated environment (USARSim [1]) are demonstrated, showing that this algorithm is capable of mapping unmodified indoor environment reliably.
Keywords :
SLAM (robots); mobile robots; optical scanners; path planning; 2D laser scan matching; USARSim; global line matching algorithm; regular environment; simultaneous localization and mapping; Equations; Lasers; Mathematical model; Reliability; Robot kinematics; Robot sensing systems; automatic exploration; path planning; scan matching; simultaneous localization and mapping;
Conference_Titel :
Safety Security and Rescue Robotics (SSRR), 2010 IEEE International Workshop on
Conference_Location :
Bremen
Print_ISBN :
978-1-4244-8898-8
Electronic_ISBN :
978-1-4244-8899-5
DOI :
10.1109/SSRR.2010.5981548