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Implementation of a multi-criteria tracking based on the Dempster-Shafer Theory

Authors :
Jerome Godelle
Dominique Gruyer
Valentin Magnier
Technocentre Renault [Guyancourt]
RENAULT
Laboratoire sur les Interactions Véhicules-Infrastructure-Conducteurs (IFSTTAR/COSYS/LIVIC)
Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)
CIFRE Renault
Source :
IEEE Intelligent Vehicles Symposium 2015 (IV 2015), IEEE Intelligent Vehicles Symposium 2015 (IV 2015), Jun 2015, Seoul, France. 6p, ⟨10.1109/IVS.2015.7225728⟩, Intelligent Vehicles Symposium
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

IEEE Intelligent Vehicles Symposium 2015 (IV 2015), Seoul, COREE, REPUBLIQUE DE, 28-/06/2015 - 01/07/2015; This paper aims to present how the Belief Theory (also known as the Dempster-Shafer theory) can be relevant to implement powerful tracking systems. As the Belief theory belongs to the group of information-theories, it is very suitable for solving the track-to-target association problem which is one of the main issue of tracking systems. The data association problem is about associating the measurement at a given time-stamp with the objects that are being tracked along the time. In this paper, we present two methods based on the belief theory that can be used to improve the data association reliability. After that we propose as an example of tracking implementation and discuss the effect of using a multi-criteria track-to-target association algorithm.

Details

Language :
English
Database :
OpenAIRE
Journal :
IEEE Intelligent Vehicles Symposium 2015 (IV 2015), IEEE Intelligent Vehicles Symposium 2015 (IV 2015), Jun 2015, Seoul, France. 6p, ⟨10.1109/IVS.2015.7225728⟩, Intelligent Vehicles Symposium
Accession number :
edsair.doi.dedup.....234c2a7c9a6daa8067213ecd46b78f52