Vision-Based Lane Keeping - A Survey

被引：0

作者：

Keatmanee, Chadaporn ^{[1
]}

Jakborvornphan, Siriaksorn ^{[2
]}

Potiwanna, Chakrapan ^{[2
]}

San-Um, Wimol ^{[1
]}

Dailey, Matthew N. ^{[3
]}

机构：

[1] Thai Nichi Inst Technol TNI, Ctr Excellence Intelligent Syst Integrat, Bangkok, Thailand

[2] Thai Nichi Inst Technol TNI, Digital Engn, Bangkok, Thailand

[3] AIT, Informat & Commun Technol, Klongluang, Pathumthani, Thailand

来源：

2018 INTERNATIONAL CONFERENCE ON EMBEDDED SYSTEMS AND INTELLIGENT TECHNOLOGY & INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY FOR EMBEDDED SYSTEMS (ICESIT-ICICTES) | 2018年

关键词：

DRIVER ASSISTANCE; TRACKING; SYSTEM;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Several intelligent transportation system applications, such as automatic steering systems, lane departure warning systems, and driver performance monitoring systems, depend on obtaining accurate estimates of the vehicle's trajectory with respect to the lane the vehicle is driving in. However, lane marking detection and tracking using video or laser sensors tend to be extremely noisy, requiring robust methods for lane marking detection and tracking. Therefore, it has been an active field of research for decades. In this paper, we survey methods for detecting lane marking as well as tracking lane boundaries in real time focusing on vision-based system. We present a generic problem and elaborate the broad ranged proposed method in vision-based system. Finally, we identify these gaps and recommend research direction that may bridge them.

引用

页数：6

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