Embedded Perception & Risk Assessment for next Cars Generation (Invited Talk)

Christian Laugier 1, 2, *
* Auteur correspondant
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
CITI - CITI Centre of Innovation in Telecommunications and Integration of services, Inria Grenoble - Rhône-Alpes
Abstract : This talk addresses both the socioeconomic and technical issues which are behind the development of the next generation of cars. The talk will focus on a key issue: How to develop a robust and efficient embedded perception system, having the capability (1) to fuse multi-sensors data while reasoning about uncertainty, (2) to represents and interpret in real-time the surrounding dynamic environment, (3) to make use of contextual information and prior knowledge for predicting world changes and evaluating the risk of future collisions, and (4) to give insight for appropriate driving decisions. 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. The talk will be illustrated by some results obtained in the scope of several projects with Toyota, Renault or IRT Nanoelec.
Type de document :
Communication dans un congrès
Asprom-Cap’Tronic-UIMM seminar: “De la voiture connectée à la voiture Autonome : Technologies, Enjeux et Applications », Feb 2016, Paris, France. 2016
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https://hal.inria.fr/hal-01428211
Contributeur : Christian Laugier <>
Soumis le : dimanche 8 janvier 2017 - 18:48:49
Dernière modification le : mercredi 11 avril 2018 - 01:54:23

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  • HAL Id : hal-01428211, version 1

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Christian Laugier. Embedded Perception & Risk Assessment for next Cars Generation (Invited Talk). Asprom-Cap’Tronic-UIMM seminar: “De la voiture connectée à la voiture Autonome : Technologies, Enjeux et Applications », Feb 2016, Paris, France. 2016. 〈hal-01428211〉

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