TY - GEN
T1 - A review of vision-based road detection technology for unmanned vehicles
AU - Liu, Chaoyang
AU - Li, Xueyuan
AU - Liu, Qi
AU - Yang, Fan
AU - Li, Zirui
AU - Li, Mengkai
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - data sets
KW - road detection
KW - unmanned vehicle
KW - vision
UR - http://www.scopus.com/inward/record.url?scp=85167992499&partnerID=8YFLogxK
U2 - 10.1109/IV55152.2023.10186761
DO - 10.1109/IV55152.2023.10186761
M3 - Conference contribution
AN - SCOPUS:85167992499
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
BT - IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34th IEEE Intelligent Vehicles Symposium, IV 2023
Y2 - 4 June 2023 through 7 June 2023
ER -