Paper Info
Title
Low level data fusion of laser and monocular color camera using occupancy grid framework
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.
Year
DOI
Venue
2010
10.1109/ICARCV.2010.5707407
Control Automation Robotics & Vision
Keywords
Field
DocType
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,Laser-Vision Data Fusion,Occupancy Grids,Robot Environment Representation
Background subtraction,Object detection,Computer vision,Grid computing,Image sensor,Computer science,Sensor fusion,Artificial intelligence,Pixel,Monocular,Occupancy grid mapping
Conference
ISSN
ISBN
Citations 
2474-2953
978-1-4244-7814-9
1
PageRank 
References 
Authors
0.36
4
2
Name
Order
Citations
PageRank
Qadeer Baig1132.52
Olivier Aycard230926.57