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
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;
Journal_Title :
Robotics & Automation Magazine, IEEE
DOI :
10.1109/MRA.2013.2297812
