支持自主导向电动汽车机器人的道路检测

Proceedings of the 2019 4th International Conference on Robotics, Control and Automation Pub Date : 2019-07-26 DOI:10.1145/3351180.3351205

I. K. Somawirata, Kartiko Ardi Widodo, S. Achmadi

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引用次数: 1

摘要

道路检测是自动导航车辆或机器人的重要组成部分。本文描述了一种城市道路检测方法。城市道路检测面临的挑战是部分道路被车辆覆盖。为了解决这个问题，我们提出了一个由3个主要步骤组成的方法。首先是图像捕捉，拍摄数字图像。其次是预处理，包括预测和切割图像中的道路区域，最后是线检测和道路标记。该方法具有良好的性能，并通过精密度、召回率和正确率对其进行了评价。本文给出了这一结果。

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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Road Detection for Supporting Autonomous Guided Electric Vehicle Robot

Road detection is a vital part in autonomous guided vehicle or robot. In this paper, we describe a road detection method for urban area. The challenge of road detection in urban area is some part of the roads are covered by vehicles. To solve that problem, we propose a method that consists of 3 main steps. First is an image capturing to takes digital image. Second is pre-processing that consists of prediction and cutting road area in an image, and the last is line detection and road labeling. The method has good performance and its has evaluated by using precision, recall and accuracy. That result have been presented in this paper.

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Proceedings of the 2019 4th International Conference on Robotics, Control and Automation

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