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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.

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Reports
Complete list of metadatas

https://hal.inria.fr/inria-00182078
Contributor : Christian Laugier <>
Submitted on : Wednesday, November 7, 2007 - 3:29:47 PM
Last modification on : Friday, June 26, 2020 - 4:04:02 PM
Long-term archiving on: : Monday, April 12, 2010 - 12:36:30 AM

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  • HAL Id : inria-00182078, version 1

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INRIA | UGA | LARA | IMAG | CNRS

Citation

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

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