Estimation de mouvement des obstacles mobiles: une approche statistique

Dizan Alejandro Vasquez Govea 1
1 E-MOTION - Geometry and Probability for Motion and Action
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes
Abstract :

The main objective of this work is to search for a motion estimation technique for vehicles and pedestrians having the following properties:

  • It should produce estimations with a long Time Horizon.
  • It should be as general as possible and work with many diJerent kinds of objects.
  • It should be fast enough to give estimations in real time.

We propose a motion estimation technique based on pairwise clustering which verifies the required properties.

We have implemented and tested our approach, comparing it with a technique that we consider to represent the state of the art in clustering techniques. In order to perform the comparison, we propose a benchmark that can be used to test other motion estimation techniques.

Type de document :
Rapport
[Travaux universitaires] 2003
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https://hal.inria.fr/inria-00182078
Contributeur : Christian Laugier <>
Soumis le : mercredi 7 novembre 2007 - 15:29:47
Dernière modification le : jeudi 11 janvier 2018 - 06:20:04
Document(s) archivé(s) le : lundi 12 avril 2010 - 00:36:30

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  • HAL Id : inria-00182078, version 1

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Dizan Alejandro Vasquez Govea. Estimation de mouvement des obstacles mobiles: une approche statistique. [Travaux universitaires] 2003. 〈inria-00182078〉

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