Lecture on Bayesian Perception & Decision-making for Autonomous Vehicles and Mobile Robots - Archive ouverte HAL Access content directly
Other Publications Year : 2017

Lecture on Bayesian Perception & Decision-making for Autonomous Vehicles and Mobile Robots

Abstract

New technologies for Autonomous Vehicles and Mobile Robots 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 talk 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-Lecture_BIT_May2017.pdf (9.08 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01672308 , version 1 (23-12-2017)

Identifiers

  • HAL Id : hal-01672308 , version 1

Cite

Christian Laugier. Lecture on Bayesian Perception & Decision-making for Autonomous Vehicles and Mobile Robots. 2017, pp.1-65. ⟨hal-01672308⟩
190 View
601 Download

Share

Gmail Facebook Twitter LinkedIn More