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.
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Communication dans un congrès
International Conference on Control, Automation, Robotics and Vision, Dec 2010, Singapour, Singapore. 2010
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Contributeur : Mathias Perrollaz <>
Soumis le : vendredi 10 décembre 2010 - 07:00:11
Dernière modification le : mercredi 11 avril 2018 - 01:53:21
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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. 2010. 〈inria-00539999〉

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