Cooperative perception : Application in the context of outdoor intelligent vehicle systems

Abstract : The research theme of this dissertation is the multiple-vehicles cooperative perception (or cooperative perception) applied in the context of intelligent vehicle systems. The general methodology of the presented works in this dissertation is to realize multiple-intelligent vehicles cooperative perception, which aims at providing better vehicle perception result compared with single vehicle perception (or non-cooperative perception). Instead of focusing our research works on the absolute performance of cooperative perception, we focus on the general mechanisms which enable the realization of cooperative localization and cooperative mapping (and moving objects detection), considering that localization and mapping are two underlying tasks for an intelligent vehicle system. We also exploit the possibility to realize certain augmented reality effect with the help of basic cooperative perception functionalities; we name this kind of practice as cooperative augmented reality. Naturally, the contributions of the presented works consist in three aspects: cooperative localization, cooperative local mapping and moving objects detection, and cooperative augmented reality.
Document type :
Theses
Complete list of metadatas

https://pastel.archives-ouvertes.fr/pastel-00766986
Contributor : Abes Star <>
Submitted on : Wednesday, December 19, 2012 - 12:17:13 PM
Last modification on : Monday, November 12, 2018 - 10:53:51 AM
Long-term archiving on : Wednesday, March 20, 2013 - 11:34:57 AM

File

2012ENMP0034.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : pastel-00766986, version 1

Citation

Hao Li. Cooperative perception : Application in the context of outdoor intelligent vehicle systems. Other. Ecole Nationale Supérieure des Mines de Paris, 2012. English. ⟨NNT : 2012ENMP0034⟩. ⟨pastel-00766986⟩

Share

Metrics

Record views

4229

Files downloads

1501