DocumentCode
2123254
Title
Fast 2D laser scan matching algorithm based on curve mass centre correspondence
Author
Zhang Heng ; Cui Pin ; Liu Yanli
Author_Institution
Sch. of Inf. Eng., East China Jiaotong Univ., Nanchang, China
fYear
2010
fDate
29-31 July 2010
Firstpage
3763
Lastpage
3767
Abstract
Start from point-to-point corresponding method, the scan matching problem for 2D laser measurement data association is studied. A relative robot displacement estimation method based on curve mass centre correspondence (CMCC) is proposed. Experiments show that this method is easy to realize and converges faster than the iterative closest point (ICP) method, but its precision is not high. When the CMCC method and ICP method are used together, the matching speed is raised and the precision is also ensured.
Keywords
image matching; mobile robots; optical scanners; robot vision; 2D laser measurement data association; curve mass centre correspondence; fast 2D laser scan matching algorithm; iterative closest point method; point-to-point corresponding method; robot displacement estimation method; scan matching problem; Estimation; Iterative closest point algorithm; Laser radar; Lasers; Rail to rail inputs; Robot kinematics; Displacement Estimation; Mobile Robot; Scan Matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5574044
Link To Document