---
abstract: |-
  Evolve safely in an unchanged environment
  and possibly following an optimal trajectory is one big
  challenge presented by situated robotics research field. Collision
  avoidance is a basic security requirement and this
  paper proposes a solution based on a probabilistic approach
  called Bayesian Programming. This approach aims to deal
  with the uncertainty, imprecision and incompleteness of the
  information handled. Some examples illustrate the process
  of embodying the programmer preliminary knowledge into
  a Bayesian program and experimental results of these examples
  implementation in an electrical vehicle are described
  and commented. Some videos illustrating these experiments
  can be found at http://www-laplace.imag.fr.
altloc:
  - http://www-laplace.imag.fr/publications/Rayons/Koike03a.pdf
chapter: ~
commentary: ~
commref: ~
confdates: 2003
conference: Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
confloc: 'Las Vegas, USA'
contact_email: ~
creators_id: []
creators_name:
  - family: Koike
    given: C
    honourific: ''
    lineage: ''
  - family: Pradalier
    given: C
    honourific: ''
    lineage: ''
  - family: Bessiere
    given: P
    honourific: ''
    lineage: ''
  - family: Mazer
    given: E
    honourific: ''
    lineage: ''
date: 2003
date_type: published
datestamp: 2004-08-10
department: ~
dir: disk0/00/00/37/57
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editors_id: []
editors_name: []
eprint_status: archive
eprintid: 3757
fileinfo: /style/images/fileicons/application_pdf.png;/3757/1/Koike03a.pdf
full_text_status: public
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isbn: ~
ispublished: pub
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item_issues_comment: []
item_issues_count: 0
item_issues_description: []
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keywords: ~
lastmod: 2011-03-11 08:55:39
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: ~
pubdom: TRUE
publication: ~
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refereed: FALSE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:53:19
subjects:
  - comp-sci-robot
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Proscriptive Bayesian Programming Application for Collision Avoidance
type: confpaper
userid: 4357
volume: ~
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