DocumentCode
1867352
Title
A probabilistic method for detecting impending vehicle interactions
Author
Worrall, Stewart ; Nebot, Eduardo
Author_Institution
Australian Center for Field Robot., Univ. of Sydney, Sydney, NSW
fYear
2008
fDate
19-23 May 2008
Firstpage
1787
Lastpage
1791
Abstract
In mining operations it is advantageous to be able to predict the future movements of nearby vehicles. For autonomous mining, this can be used for localised, short term path planning and risk assessment. For semi-autonomous or non-autonomous mining, this can be used for collision avoidance, situational awareness and risk assessment of maneuvers between a human operated vehicle, and another vehicle (operated by a human or otherwise). This paper introduces a probabilistic approach to predicting vehicle movements, in particular, the time until two vehicle paths intersect. Results are shown using real data collected from the operation of two separate fleets of vehicles.
Keywords
collision avoidance; risk management; vehicles; autonomous mining; collision avoidance; impending vehicle interactions detection; maneuvers risk assessment; nonautonomous mining; probabilistic method; risk assessment; short term path planning; situational awareness; Object detection; Path planning; Radar detection; Remotely operated vehicles; Risk management; Road vehicles; Robotics and automation; Time measurement; Vehicle detection; Vehicle safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
Conference_Location
Pasadena, CA
ISSN
1050-4729
Print_ISBN
978-1-4244-1646-2
Electronic_ISBN
1050-4729
Type
conf
DOI
10.1109/ROBOT.2008.4543467
Filename
4543467
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