Detection of driving space using Vanishing point estimation

D. Urdzik, J. Gamec, M. Gamcová, D. Kocur
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引用次数: 1

Abstract

This paper presents an in-vehicle monocular road detection system. The system acquires color images in the input and uses image processing techniques to boost robustness of this algorithm that it is possible to improve it's autonomy and "intelligence" in segmentation of driving space in different road scenes. The road detection algorithm consists of two main steps: vanishing point estimation and road detection. The main idea of driving space detection is based on successful vanishing point estimation. This algorithm was tested under different traffic scenarios (e.g., simply structured highway, complex urban street, varying illumination conditions).
利用消失点估计检测驾驶空间
介绍了一种车载单目道路检测系统。系统在输入中获取彩色图像,并利用图像处理技术增强算法的鲁棒性,从而有可能提高其在不同道路场景中分割驾驶空间的自主性和“智能性”。道路检测算法主要包括两个步骤:消失点估计和道路检测。驾驶空间检测的主要思想是基于成功的消失点估计。该算法在不同的交通场景(如结构简单的高速公路、复杂的城市街道、不同的照明条件)下进行了测试。
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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