DocumentCode :
1582501
Title :
Map building based on clustering method for mobile robots
Author :
Zhang, Hui ; Qu, Ying ; Hai, Dan ; Li, Yong ; Wang, Dachuan
Author_Institution :
Coll. of Mech. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2009
Firstpage :
303
Lastpage :
307
Abstract :
A new laser scan matching method based on clustering is advanced. It takes the advantages of both non-iterative matching method and iterative matching method as well as increases the speed and the precision of matching. A method of map building based on laser scans using the matching method above is presented for mobile robots. The map building method matches two consecutive scans by using the feature points extracted from the scans and then completes the whole map building. In the experiment using the rescue robot developed in our lab, it shows that the new method can accomplish the task of real-time map building in an indoor environment accurately and effectively.
Keywords :
cartography; control engineering computing; mobile robots; optical scanners; pattern clustering; pattern matching; clustering method; laser scan matching; map building; mobile robots; noniterative matching method; Automation; Clustering methods; Convergence; Histograms; Indoor environments; Iterative algorithms; Iterative closest point algorithm; Iterative methods; Mechanical engineering; Mobile robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-4774-9
Electronic_ISBN :
978-1-4244-4775-6
Type :
conf
DOI :
10.1109/ROBIO.2009.5420662
Filename :
5420662
Link To Document :
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