Embedded Bayesian Perception and Risk Assessment for ADAS and Autonomous Cars (Keynote Talk) - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2015

Embedded Bayesian Perception and Risk Assessment for ADAS and Autonomous Cars (Keynote Talk)

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.
Slides_PPNIV7_IROS2015_keynote.pdf (4.9 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01264200 , version 1 (28-01-2016)

Identifiers

  • HAL Id : hal-01264200 , version 1

Cite

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⟩
251 View
77 Download

Share

Gmail Facebook X LinkedIn More