Towards Fully Autonomous Driving ? The Perception & Decision-making bottleneck (Plenary Talk)

Christian Laugier 1, 2, 3
1 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
2 E-MOTION - Geometry and Probability for Motion and Action
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : Thanks to the DARPA Urban Challenge in 2007, the launch a few years later of the Google Car project, the recent multiple announcements of the Automotive Industry, and the wide dissemination by the media of nice interviews and videos, the concept of Autonomous Driving seems to progressively become a reality for the next decades. The objective of this talk is to give a brief analysis of the state of the art, before focusing on one of the current brake on the deployment of such a technology: the lack of robustness and of efficiency of current Embedded Perception and Decision-making systems. New technologies and trends will be presented for addressing these issues. 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 dynamic situations. The talk will be illustrated by some interesting results obtained at Inria in the scope of several collaborative projects involving Toyota, Renault, CEA-LETI, or the French IRT (Technological Research Institute) Nanoelec.
Type de document :
Communication dans un congrès
IEEE ARSO 2016, Jul 2016, Shanghai, China. 2016, 2016, Proceedings of IEEE ARSO 2016
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Dernière modification le : samedi 27 octobre 2018 - 01:20:12
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Christian Laugier. Towards Fully Autonomous Driving ? The Perception & Decision-making bottleneck (Plenary Talk). IEEE ARSO 2016, Jul 2016, Shanghai, China. 2016, 2016, Proceedings of IEEE ARSO 2016. 〈hal-01435861〉

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