DocumentCode
30298
Title
A Robust Motion Detection Technique for Dynamic Environment Monitoring: A Framework for Grid-Based Monitoring of the Dynamic Environment
Author
Baig, Qadeer ; Perrollaz, Mathias ; Laugier, C.
Author_Institution
INRIA Grenoble Rhone-Alpes, Grenoble, France
Volume
21
Issue
1
fYear
2014
fDate
Mar-14
Firstpage
40
Lastpage
48
Abstract
The Bayesian occupancy filter (BOF) provides a framework for grid-based monitoring of the dynamic environment. It allows us to estimate dynamic grids, containing both information of occupancy and velocity. Clustering such grids then provides detection of the objects in the observed scene.
Keywords
Bayes methods; driver information systems; grid computing; monitoring; motion compensation; BOF; Bayesian occupancy filter; dynamic environment monitoring; grid-based monitoring; robust motion detection technique; Autonomous vehicles; Bayes methods; Dynamics; Monitoring; Motion detection; Navigation; Robot sensing systems; Vehicle dynamics;
fLanguage
English
Journal_Title
Robotics & Automation Magazine, IEEE
Publisher
ieee
ISSN
1070-9932
Type
jour
DOI
10.1109/MRA.2013.2297812
Filename
6763371
Link To Document