Abstract In paper we propose a detection method for objects in video stream taken in front of a car by means of deep learning. The successful detection of preceding cars is a part of the analysis of current road situation including emergency and sudden braking, unintentional lane change, traffic jam, accident, etc. We include the results of preliminary experiments employing video stream captured by camera installed behind frontal wind screen. The detection and classification are performed using Convolutional Neural Network preceded by road lane detection. We performed several experiments on real-world data in order to check the accuracy of the proposed algorithm.
Deep Learning Approach to Detection of Preceding Vehicle in Advanced Driver Assistance
2016-01-01
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Deep learning , Convolutional neural network , Vehicle detection , Vehicle classification , Road lane detection Computer Science , Computers and Society , Computer Applications , Information Systems Applications (incl. Internet) , Computer Communication Networks , Transportation Technology and Traffic Engineering , Simulation and Modeling
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