A review of vision-based road detection technology for unmanned vehicles
Chaoyang Liu (Beijing Institute of Technology)
Xueyuan Li (Beijing Institute of Technology)
Qi Liu (Beijing Institute of Technology)
Fan Yang (Beijing Institute of Technology)
Zirui Li (TU Delft - Transport and Planning)
Mengkai Li (Beijing Institute of Technology)
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Abstract
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.