Tutorial on Autonomous Vehicles Technologies for Perception & Decision-Making - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Lectures Year : 2018

Tutorial on Autonomous Vehicles Technologies for Perception & Decision-Making

Abstract

Tutorial on "Autonomous Vehicles Technologies for Perception & Decision-making". New technologies for Autonomous Vehicles will be presented, with an emphasis on multi-sensors Embedded Perception, Situation Awareness, Collision Risk Assessment, and Decision-making for safe navigation in Dynamic Human Environments. 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 dynamic situations. The tutorial will be illustrated by some interesting results obtained in the scope of several collaborative projects involving either national research and development institutes such as CEA-LETI and IRT (Technological Research Institute) Nanoelec, or international industrial companies such as Toyota or Renault-Nissan.
Fichier principal
Vignette du fichier
Tutorial_Autonomous Vehicles_IA2-Toulouse_Oct 2018.pdf (9.2 Mo) Télécharger le fichier
Abstract_Tutorial-IA2-Toulouse_Oct2018.pdf (88.31 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

cel-01969720 , version 1 (07-01-2019)

Identifiers

  • HAL Id : cel-01969720 , version 1

Cite

Christian Laugier. Tutorial on Autonomous Vehicles Technologies for Perception & Decision-Making. Doctoral. Institut d’Automne en Intelligence Artificielle 2018 (IA2 2018), France. 2018. ⟨cel-01969720⟩
353 View
591 Download

Share

Gmail Facebook X LinkedIn More