使用canny和k-nn技术的停车提示系统

Computer Science & Information Technology (CS & IT ) Pub Date : 2019-05-25 DOI:10.5121/CSIT.2019.90604

C. Dow, Wei-kang Wang, Huu-Huy Ngo, Shiow-Fen Hwang

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引用次数: 2

摘要

本研究提出了一个提供停车特性的系统和应用服务平台。该系统可用于辅助驾驶员选择停车位。该系统可以通过Canny算法识别汽车、摩托车等车辆的轮廓。这些数据可以用来创建数据集和计算停车密度。接下来，我们使用k近邻(K-NN)算法来生成停车模式。该模型对不同时间的不同条件进行预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AN ADVISING SYSTEM FOR PARKING USING CANNY AND K-NN TECHNIQUES

This study proposes a system which provides the parking characteristics and an application service platform. This system can be used to assist in selecting the parking space for drivers. The system can identify the contours of vehicles, such as cars and motorcycles by using the Canny algorithm. The data can be used to create the dataset and calculate the Parking density. Next, we use the k-nearest neighbour (K-NN) algorithm to produce the parking pattern. The model makes predictions for different conditions at different time.

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Computer Science & Information Technology (CS & IT )

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