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
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;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
DOI :
10.1109/ICARCV.2010.5707407