A Solution for Metropolis: Autonomous Transportation Hub System Using OpenCV Algorithm

Kun Wang
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Abstract

The detector algorithm uses OpenCV as base with real-time image processing to detect useful pixels. The algorithm provides numerical result of the amount of vehicles in terminal. The method being elucidated in the article is sufficient for a traffic lighting system with simple principles that reduces the cost of producing the system integrated chips massively. The final objective after the installation of the system is to eliminate the redundant seconds that people have to spend in the crossings so that more seconds will be given to pathways with more vehicles.
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基于OpenCV算法的大都市自主交通枢纽系统解决方案
该检测器算法以OpenCV为基础,进行实时图像处理,检测出有用的像素点。该算法给出了码头车辆数量的数值计算结果。本文所阐述的方法对于一个原理简单的交通照明系统来说是足够的,可以降低大量生产系统集成芯片的成本。安装该系统后的最终目标是消除人们在十字路口花费的多余时间,以便将更多的时间用于车辆较多的道路。
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