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
Link To Document :
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