DocumentCode
2429401
Title
Low level data fusion of laser and monocular color camera using occupancy grid framework
Author
Baig, Qadeer ; Aycard, Olivier
Author_Institution
INRI A Rhone-Alpes, Univ. of Grenoble 1, Grenoble, France
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
905
Lastpage
910
Abstract
In this paper we have developed a technique for low level data fusion between laser and monocular color camera using occupancy grid framework in the context of internal representation of external environment for object detection. Based on a small variant of background subtraction technique we construct an occupancy grid for camera and fuse it with the one constructed for laser to get a combined view. The results obtained using Cycab simulator prepared by INRIA show the effectiveness of our technique.
Keywords
cameras; grid computing; image sensors; lasers; mobile robots; object detection; robot vision; sensor fusion; Cycab simulator; INRIA; background subtraction technique; camera; laser; low level data fusion; monocular color camera; object detection; occupancy grid framework; robot environment representation; Cameras; Laser beams; Laser fusion; Laser modes; Measurement by laser beam; Pixel; Sensors; Laser-Vision Data Fusion; Occupancy Grids; Robot Environment Representation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-7814-9
Type
conf
DOI
10.1109/ICARCV.2010.5707407
Filename
5707407
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