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Bayesian Perception & Decision-making for Robot Navigation in Dynamic Environments (Invited Talk)

Christian Laugier 1, 2 
1 E-MOTION - Geometry and Probability for Motion and Action
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
2 CHROMA - Robots coopératifs et adaptés à la présence humaine en environnements dynamiques
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : New technologies for Autonomous Vehicles and Mobile Robots will be presented, with an emphasis on multi-sensors Embedded Perception, Situation Awareness, Collision Risk Assessment, and Decision-making for safe navigation in Dynamic Human Environments. It will be shown that Bayesian approaches are mandatory for developing these technologies and for obtaining the required robustness in presence of uncertainty and complex dynamic situations. The talk will be illustrated by some interesting results obtained in the scope of several collaborative projects involving Toyota, Renault, CEA-LETI, or the French IRT Nanoelec.
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Submitted on : Monday, January 16, 2017 - 7:17:54 PM
Last modification on : Thursday, October 27, 2022 - 1:45:02 PM


  • HAL Id : hal-01436976, version 1


Christian Laugier. Bayesian Perception & Decision-making for Robot Navigation in Dynamic Environments (Invited Talk). 2016. ⟨hal-01436976⟩



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