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Lecture on Bayesian Perception & Decision-making for Autonomous Vehicles and Mobile Robots

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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 either national research and development institutes such as CEA-LETI and IRT (Technological Research Institute) Nanoelec, or international industrial companies such as Toyota or Renault-Nissan.
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Dates and versions

hal-01672308 , version 1 (23-12-2017)

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  • HAL Id : hal-01672308 , version 1

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Christian Laugier. Lecture on Bayesian Perception & Decision-making for Autonomous Vehicles and Mobile Robots. 2017, pp.1-65. ⟨hal-01672308⟩
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