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Embedded Bayesian Perception and Risk Assessment for ADAS and Autonomous Cars (Keynote 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 : This talk addresses both the socio-economic and technical issues which are behind the development of the next generation of cars. These future cars will both include enhanced Advanced Driving Assistance Systems and Driverless Car functionalities. In the talk, new Bayesian approaches for Autonomous Vehicles will be presented, with an emphasis on Situation Awareness, Collision Risk Assessment, and Decision-making for safe navigation and maneuvering. It will be shown that Bayesian approaches are mandatory for developing such technologies and for obtaining the required robustness in presence of uncertainty and complex traffic situations. Results obtained in cooperation with Toyota and with Renault will also been presented.
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Submitted on : Thursday, January 28, 2016 - 8:04:11 PM
Last modification on : Wednesday, July 6, 2022 - 4:14:27 AM


  • HAL Id : hal-01264200, version 1


Christian Laugier. Embedded Bayesian Perception and Risk Assessment for ADAS and Autonomous Cars (Keynote Talk). Workshop PPNIV 2015 - IEEE/RSJ IROS 2015, Sep 2015, Hamburg, Germany. ⟨hal-01264200⟩



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