The ArosDyn Project: Robust Analysis of Dynamic Scenes - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2010

The ArosDyn Project: Robust Analysis of Dynamic Scenes


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.
Fichier principal
Vignette du fichier
Arosdyn-ICARCV2010.pdf (1.04 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00539999 , version 1 (10-12-2010)


  • HAL Id : inria-00539999 , version 1


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


Gmail Facebook X LinkedIn More