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  • 标题:Prediction of the scene quality for stereo vision-based autonomous navigation
  • 本地全文:下载
  • 作者:Hélène Roggeman ; Julien Marzat ; Anthelme Bernard-Brunei
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:15
  • 页码:94-99
  • DOI:10.1016/j.ifacol.2016.07.715
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents an autonomous navigation architecture for a robot using stereo vision-based localisation. The main contribution is the prediction of the quality of future localisation of the system in order to detect and avoid areas where vision-based localisation may fail, due to lack of texture in the scene. A criterion based on the estimation of future visible landmarks, considering uncertainties on landmarks and camera positions, is integrated in a Model Predictive Control loop to compute safe trajectories with respect to the visual localisation. The system was tested on a mobile robot and the obtained results demonstrate the effectiveness of our method.
  • 关键词:KeywordsAutonomous vehiclesRobot navigationStereo visionModel Predictive Control
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