A Study of Self-Adaptive Front Vehicle Recognition Algorithm Based on Multi-Features

Abstract:

With the development of intelligent driving technology, recognition the vehicle in front of our cars became the hotspot in the field of intelligent driving research. This paper presents a self-adaptive front vehicle recognition algorithm with some unique improved method on the basis of analyzing and comparing the popular vehicle detection algorithm of domestic and foreign. Using the gray feature, vehicle shadow feature, taillights feature, license plate color domain feature and other features, the recognition algorithm can detect the vehicle in front of cars effectively, find out the safe passage area and avoid the potential risks. Finally, the feasibility of the algorithm is verified by experiment results with MATLAB tools.

• Periodical: Advanced Materials Research (Volumes 945-949)
• Pages: 1815-1819
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.945-949.1815
• Online since: June 2014
• Authors: Mei Hua Xu*, Chen Jun Xia, Huai Meng Zheng
• Keywords: Brightness, Multi-Feature, Self-Adaption, Vehicle Recognition

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