The ArosDyn Project: Robust Analysis of Dynamic Scenes

Igor Paromtchik 1 Christian Laugier 1 Mathias Perrollaz 1 Yong Mao 1 Amaury Negre 1 Christopher Tay 2
1 E-MOTION - Geometry and Probability for Motion and Action
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
2 Probayes [Montbonnot]
Abstract : The ArosDyn project aims to develop embedded software for robust analysis of dynamic scenes in urban traffic environments, in order to estimate and predict collision risks during car driving. The on-board telemetric sensors (lidars) and visual sensors (stereo camera) are used to monitor the environment around the car. The algorithms make use of Bayesian fusion of heterogenous sensor data. The key objective is to process sensor data for robust detection and tracking of multiple moving objects for estimating and predicting collision risks in real time, in order to help avoid potentially dangerous situations.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [18 references]  Display  Hide  Download
https://hal.inria.fr/inria-00539999
Contributor : Mathias Perrollaz <>
Submitted on : Friday, December 10, 2010 - 7:00:11 AM
Last modification on : Friday, January 4, 2019 - 1:23:32 AM
Document(s) archivé(s) le : Friday, March 11, 2011 - 2:34:15 AM

File

Arosdyn-ICARCV2010.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00539999, version 1

Collections

INRIA | LIG | UGA | LIG_SIC_E-MOTION

Citation

Igor Paromtchik, Christian Laugier, Mathias Perrollaz, Yong Mao, Amaury Negre, et al.. The ArosDyn Project: Robust Analysis of Dynamic Scenes. International Conference on Control, Automation, Robotics and Vision, Dec 2010, Singapour, Singapore. ⟨inria-00539999⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

357

Files downloads

173

Contact


archive-ouverte@inria.fr