DocumentCode
2642050
Title
Grid Based Fusion & Tracking
Author
Aycard, Olivier ; Spalanzani, Anne ; Burlet, Julien ; Fulgenzi, Chiara ; Vu, Dung ; Raulo, David ; Yguel, Manuel
Author_Institution
GRAVIR-IMAG, Montbonnot
fYear
2006
fDate
17-20 Sept. 2006
Firstpage
450
Lastpage
455
Abstract
In this paper, we detail the perception system designed and developed in our group to track multi-objects. This system is divided in two parts: a fusion part to fusion the data given by different sensors and a tracking part to sequentially estimate the position of each object present in the environment and to determine the number of objects. We also present how this system has been used in the context of vulnerable safety in a car park. Finally, some experimental results are presented
Keywords
collision avoidance; object detection; road safety; road vehicles; sensor fusion; tracking; traffic engineering computing; data fusion; grid based fusion; grid based tracking; multiobject tracking; perception system; position estimation; Cameras; Laser fusion; Laser radar; Radar measurements; Radar tracking; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Uncertainty; Vehicle safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
Conference_Location
Toronto, Ont.
Print_ISBN
1-4244-0093-7
Electronic_ISBN
1-4244-0094-5
Type
conf
DOI
10.1109/ITSC.2006.1706782
Filename
1706782
Link To Document