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Grid based Fusion and tracking

Olivier Aycard 1 Anne Spalanzani 1 Julien Burlet 1 Chiara Fulgenzi 1 Trung-Dung Vu 1 David Raulo 1 Manuel Yguel 1 
1 E-MOTION - Geometry and Probability for Motion and Action
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes
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.
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Submitted on : Wednesday, October 24, 2007 - 6:25:49 PM
Last modification on : Wednesday, February 2, 2022 - 3:58:15 PM
Long-term archiving on: : Monday, September 24, 2012 - 2:35:21 PM


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  • HAL Id : inria-00182015, version 1



Olivier Aycard, Anne Spalanzani, Julien Burlet, Chiara Fulgenzi, Trung-Dung Vu, et al.. Grid based Fusion and tracking. Proc. of the IEEE Int. Conf. on Intelligent Transportation Systems, 2006, Toronto, Canada. ⟨inria-00182015⟩



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