ATTENTION/WARNING - NE PAS DÉPOSER ICI/DO NOT SUBMIT HERE

Ceci est la version de TEST de DIAL.mem. Veuillez ne pas soumettre votre mémoire sur ce site mais bien à l'URL suivante: 'https://thesis.dial.uclouvain.be'.
This is the TEST version of DIAL.mem. Please use the following URL to submit your master thesis: 'https://thesis.dial.uclouvain.be'.
 

Conception d’un senseur intégré multimodal pour l’observation des routes

Cardinael, Sébastien ; Malcourant, Arthur
(2018)

Files

Cardinael_29511300_Malcourant_44711300_2018.pdf
  • Open access
  • Adobe PDF
  • 34.5 MB
Download

Details

Supervisors
Craeye, Christophe ; Macq, Benoît
Faculty
Ecole polytechnique de Louvain
Ecole polytechnique de Louvain
Degree label
Master [120] : ingénieur civil électromécanicien
Master [120] : ingénieur civil mécanicien
Abstract
enMultiple object tracking plays an important role in the world of engineering. In this thesis a camera and a radar are used to track pedestrians and cars respectively. The implemented method is divided into three main steps : detection, tracking and data fusion. As a pedestrian detector for the final solution, the FPDW ("The Fastest Pedestrian Detector in the West") is used. Cars are detected thanks to the radar KMD2. These potential targets are followed by means of Kalman filters which introduce a stochastic approach. To allow the dissociation between several pedestrians or cars, a James Munkres's variant of the Hungarian assignment algorithm is operated. The data fusion is then realised after quite a few processing on them. The purpose is to analyse the attendance of a road. The accuracy of the multimodal sensor was checked through tests on a specific case study. This one is a crowded crossroad. From the results achieved by the implemented algorithm, it appears that this combination between a camera and a radar is relevant. Multiple applications and some recommendations for improvements will push this new device forward.