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
Link To Document