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
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;
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
DOI :
10.1109/ITSC.2006.1706782
