A Robust Motion Detection Technique for Dynamic Environment Monitoring: A Framework for Grid-Based Monitoring of the Dynamic Environment

A Robust Motion Detection Technique for Dynamic Environment Monitoring: A Framework for Grid-Based Monitoring of the Dynamic Environment

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.

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE robotics & automation magazine 2014-03, Vol.21 (1), p.40-48
Hauptverfasser: Baig, Qadeer, Perrollaz, Mathias, Laugier, Christian
Format: Artikel
Sprache:eng
Schlagworte:
Autonomous vehicles
Bayes methods
Bayesian analysis
Clustering
Dynamics
Environmental monitoring
Estimates
Monitoring
Motion detection
Motion perception
Navigation
Oxygen steel making
Robot sensing systems
Robotics
Vehicle dynamics
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1070-9932
1558-223X
DOI:10.1109/MRA.2013.2297812