A review of vision-based road detection technology for unmanned vehicles

被引：0

作者：

Liu, Chaoyang ^{[1
]}

Li, Xueyuan ^{[1
]}

Liu, Qi ^{[1
]}

Yang, Fan ^{[1
]}

Li, Zirui ^{[2
]}

Li, Mengkai ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Mech Engn, Beijing, Peoples R China

[2] Delft Univ Technol, Fac Civil Engn & Geosci, Delft, Netherlands

来源：

2023 IEEE INTELLIGENT VEHICLES SYMPOSIUM, IV | 2023年

关键词：

road detection; vision; unmanned vehicle; data sets; LANE DETECTION; TRACKING;

D O I：

10.1109/IV55152.2023.10186761

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the development of unmanned vehicle technology, unmanned vehicles have played a huge role in logistics transportation, emergency rescue and disaster relief, etc., so the research on unmanned vehicles is becoming more and more important. Road detection is an important part of environmental perception and an important factor in the realization of assisted driving and unmanned driving technology. High-precision road detection technology can provide important environmental information for efficient planning and reasonable decision-making of unmanned vehicles. Firstly, the technical framework of road detection is given, and the road detection process is introduced in detail. Then, the vision-based road detection algorithm is introduced. Finally, some related data sets in the field of road detection are collected, which provides new ideas and methods for road detection researchers.

引用

页数：8

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