Browsing by Author "Tang, Ho-Chia"

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Vehicle Detection and Classification based on Deep Neural Network for Intelligent Transportation Applications
(2018-01-01)
Tsai, Chia-Chi
;
Tseng, Ching-Kan
;
Tang, Ho-Chia
;
Guo, Jiun-In
;
電子工程學系及電子研究所
This paper proposes an optimized vehicle detection and classification method based on deep learning technology for intelligent transportation applications. We optimize the Convolutional Neural Network (CNN) architecture by fine-tuning the existing CNN architecture for the intelligent transportation applications. The proposed design achieves the accuracy of miss rate around 10% when FPPI is 0.1. Realized on nVidia Titan-X GPU, the proposed design can reach the performance about 720x480 video under different weather condition (day, night, raining) at 25fps. The proposed model can achieve 90% accuracy on three target vehicle classes including small vehicles (Sedan, SUV, Van), big vehicles (Bus) and Trucks.