Bayesian Perception and Decision for Intelligent Mobility (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
CITI - CITI Centre of Innovation in Telecommunications and Integration of services, Inria Grenoble - Rhône-Alpes
Abstract : New technologies for Intelligent Vehicles will be presented, with an emphasis on multisensors Embedded Perception, Situation Awareness & Collision Risk Assessment, and Decision making for safe navigation and maneuvering. It will be shown that Bayesian approaches are mandatory for developing these technologies and for obtaining the required robustness in presence of uncertainty and complex traffic situations. Results obtained with Toyota and Renault will be presented.
Document type :
Poster communications
Liste complète des métadonnées

https://hal.inria.fr/hal-01264198
Contributor : Christian Laugier <>
Submitted on : Thursday, January 28, 2016 - 7:48:57 PM
Last modification on : Friday, January 4, 2019 - 1:23:34 AM

Identifiers

  • HAL Id : hal-01264198, version 1

Citation

Christian Laugier. Bayesian Perception and Decision for Intelligent Mobility (Invited Talk). Inria Industry Seminar on "Smart Cities & Mobility Innovations", May 2015, San Francisco, United States. 2015. ⟨hal-01264198⟩

Share

Metrics

Record views

375

Files downloads

164