A combined approach to single-camera-based lane detection in driverless navigation

被引：0

作者：

Zhang, Xin ^{[1
]}

Chen, Maolin ^{[1
]}

Zhan, Xingqun ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, Shanghai, Peoples R China

来源：

2018 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS) | 2018年

基金：

中国国家自然科学基金;

关键词：

self-driving; navigation; single-camera; lane detection; autonomous;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A combined approach is presented with real-world examples to illustrate how to detect lane lines under several road conditions in driverless navigation. This approach is designed for single-camera perception and is achieved using camera calibration, un-distortion, color thresholding, perspective transformation, pixel identification and ployfitting. Limiting factors such as illumination and radius of curvature of the testing road is considered. The results show that the method is effective in normal conditions but needs further improvement in extremely challenging environments.

引用

页码：1042 / 1046

页数：5

共 33 条

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