DocumentCode :
3306453
Title :
Unsupervised learning of motion patterns of rear surrounding vehicles
Author :
Morris, Brendan ; Trivedi, Mohan
Author_Institution :
Comput. Vision & Robot. Res. Lab., Univ. of California, San Diego, CA, USA
fYear :
2009
fDate :
11-12 Nov. 2009
Firstpage :
80
Lastpage :
85
Abstract :
Awareness to a vehicle´s surrounding is necessary for safe driving. Current surround technologies focus on the detection of obstacles in hard-to-view places but may neglect temporal information. This paper seeks the causes of dangerous situations by examining surround behavior. A general hierarchical learning framework is introduced to automatically learn surround behaviors. By observing motion trajectories during natural driving, models of rear vehicle behaviors are obtained in an unsupervised fashion. The extracted behaviors are shown to correspond to typical driving scenarios, vehicle overtake and surround overtake, demonstrating the effectiveness of the learning framework.
Keywords :
automobiles; object detection; unsupervised learning; hierarchical learning framework; motion patterns; motion trajectories; obstacles detection; rear surrounding vehicles; safe driving; unsupervised learning; vehicle; Unsupervised learning; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2009 IEEE International Conference on
Conference_Location :
Pune
Print_ISBN :
978-1-4244-5442-6
Type :
conf
DOI :
10.1109/ICVES.2009.5400238
Filename :
5400238
Link To Document :
بازگشت