DocumentCode
2911517
Title
Visual topological mapping and localisation using colour histograms
Author
Werner, Felix ; Sitte, Joaquin ; Maire, Frederic
fYear
2008
fDate
17-20 Dec. 2008
Firstpage
341
Lastpage
346
Abstract
In this paper we present a system for appearance-based topological mapping and localisation using vision data. The algorithms are designed for robots which are equipped with FPGA cameras. Such cameras do not provide the entire image to the robot but simple image features like colour histograms.
Keywords
Monte Carlo methods; cameras; feature extraction; field programmable gate arrays; image colour analysis; mobile robots; path planning; robot vision; FPGA cameras; Monte-Carlo localisation strategy; colour histograms; image features; panoramic camera; robot exploration; visual topological localisation; visual topological mapping; Cameras; Computer vision; Field programmable gate arrays; Fingerprint recognition; Histograms; Mobile robots; Robot kinematics; Robot sensing systems; Robot vision systems; Robotics and automation; FPGA; Mobile robot; Monte-Carlo localisation; colour histogram; omni-vision; topological localisation; topological mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location
Hanoi
Print_ISBN
978-1-4244-2286-9
Electronic_ISBN
978-1-4244-2287-6
Type
conf
DOI
10.1109/ICARCV.2008.4795543
Filename
4795543
Link To Document