Risk Assessment and Decision-Making for Safe Vehicle Navigation under Uncertainty (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 Bayesian approaches for Autonomous Vehicles are presented, with an emphasis on Situation Awareness, Collision Risk Assessment, and Decision-making for safe navigation and maneuvering. It is 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 are also presented.
Keywords : Decision-Making Under Uncertainty Situtaion Awareness Autonomous Vehicles Bayesian Perception
Document type :
Conference papers
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https://hal.inria.fr/hal-01260282
Contributor : Christian Laugier <>
Submitted on : Thursday, January 21, 2016 - 7:42:29 PM
Last modification on : Tuesday, November 19, 2019 - 2:10:50 AM

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  • HAL Id : hal-01260282, version 1

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Christian Laugier. Risk Assessment and Decision-Making for Safe Vehicle Navigation under Uncertainty (Invited Talk). IET workshop “Autonomous vehicles: from theory to full scale applications”, IET, Jun 2015, Paris, France. ⟨hal-01260282⟩

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