• DocumentCode
    580853
  • Title

    Pedestrian detection in industrial environments: Seeing around corners

  • Author

    Borges, Paulo V K ; Tews, Ash ; Haddon, Dave

  • Author_Institution
    Autonomous Syst. Lab., CSIRO, Sydney, NSW, Australia
  • fYear
    2012
  • fDate
    7-12 Oct. 2012
  • Firstpage
    4231
  • Lastpage
    4232
  • Abstract
    Situational awareness for industrial vehicles is crucial to ensure safety of personnel and equipment. While human drivers and onboard sensors are able to detect obstacles and pedestrians within line-of-sight, in complex environments initially occluded or obscured dynamic objects can unpre dictably enter the path of a vehicle. We propose a safety system which integrates a vision-based offboard pedestrian tracking subsystem with an onboard localisation and navigation subsystem. This combination enables warnings to be communicated and effectively extends the vehicle controllers field of view to include areas that would otherwise be blind spots. A simple flashing light interface in the vehicle cabin provides a clear and intuitive interface to alert drivers of potential collisions. We implemented and tested the proposed solution on an automated industrial vehicle to verify the applicability for both human drivers and under autonomous operation.
  • Keywords
    computer vision; driver information systems; industrial accidents; navigation; object detection; occupational safety; pedestrians; production engineering computing; road safety; safety systems; automated industrial vehicle; autonomous operation; blind spot; equipment safety; flashing light interface; human drivers; industrial environment; intuitive interface; navigation subsystem; obscured dynamic objects; obstacle detection; occluded dynamic objects; onboard localisation subsystem; onboard sensors; pedestrian detection; personnel safety; potential collision; safety system; situational awareness; vehicle cabin; vehicle controller; vehicle path; vision-based offboard pedestrian tracking subsystem; Ash; Cameras; Conferences; Prediction algorithms; Safety; Trajectory; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
  • Conference_Location
    Vilamoura
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-4673-1737-5
  • Type

    conf

  • DOI
    10.1109/IROS.2012.6386262
  • Filename
    6386262