Sunlight Enabled Vehicle Detection by LED Street Lights

2018/08/06 by Weicheng Xue, Xue, Weicheng, Shangbin Li +3
Computer Science · #FOS: Computer and information sciences #Other Computer Science (cs.OH) #cs.OH

paper · pdf · doi:10.48550/arxiv.1808.01980

3 pages, 5 figures

arxiv created 2018/08/06 · arxiv updated 2018/10/23

Abstract

We propose and demonstrate a preliminary traffic sensing system based on the widely distributed LED street lights. The system utilizes and discriminates the photoelectric responses of the LEDs to sunlight when a vehicle moves through the LEDs' field of view aiming at the road. A data vector is constructed from the consecutively collected time samples of a moving observation window, and a support vector machine (SVM) based learning algorithm is subsequently developed to classify the presence of a vehicle. Finally, we build a simulated platform to experimentally evaluate the performance of the vehicle detection algorithm.

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