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Conference papers

Bayesian Perception & Decision for Autonomous Vehicles and Mobile Robots (Invited Talk)

Christian Laugier 1, 2
1 E-MOTION - Geometry and Probability for Motion and Action
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes
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, and the French IRT (Technological Research Institute) Nanoelec.
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Submitted on : Sunday, January 15, 2017 - 8:10:18 PM
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  • HAL Id : hal-01435868, version 1



Christian Laugier. Bayesian Perception & Decision for Autonomous Vehicles and Mobile Robots (Invited Talk). IEEE ICIT 2016, Prof Ren Luo, Mar 2016, Taipei, Taiwan. ⟨hal-01435868⟩



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