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

Chaoyang Liu; Xueyuan Li; Qi Liu; Fan Yang; Zirui Li; Mengkai Li

doi:10.1109/IV55152.2023.10186761

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

Chaoyang Liu, Xueyuan Li^*, Qi Liu, Fan Yang, Zirui Li, Mengkai Li

^*Corresponding author for this work

Transport and Planning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (SciVal)

173 Downloads (Pure)

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.

Original language	English
Title of host publication	IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings
Publisher	IEEE
Number of pages	8
ISBN (Electronic)	9798350346916
DOIs	https://doi.org/10.1109/IV55152.2023.10186761
Publication status	Published - 2023
Event	34th IEEE Intelligent Vehicles Symposium, IV 2023 - Anchorage, United States Duration: 4 Jun 2023 → 7 Jun 2023

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings
Volume	2023-June

Conference

Conference	34th IEEE Intelligent Vehicles Symposium, IV 2023
Country/Territory	United States
City	Anchorage
Period	4/06/23 → 7/06/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

data sets
road detection
unmanned vehicle
vision

Access to Document

10.1109/IV55152.2023.10186761

A review of vision-based road detection technology for unmanned vehiclesFinal published version, 1.42 MB

Cite this

@inproceedings{38545a77f02a41dfbbfcec3c6bd9f16f,

title = "A review of vision-based road detection technology for unmanned vehicles",

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.",

keywords = "data sets, road detection, unmanned vehicle, vision",

author = "Chaoyang Liu and Xueyuan Li and Qi Liu and Fan Yang and Zirui Li and Mengkai Li",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 34th IEEE Intelligent Vehicles Symposium, IV 2023 ; Conference date: 04-06-2023 Through 07-06-2023",

year = "2023",

doi = "10.1109/IV55152.2023.10186761",

language = "English",

series = "IEEE Intelligent Vehicles Symposium, Proceedings",

publisher = "IEEE",

booktitle = "IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings",

address = "United States",

}

Liu, C, Li, X, Liu, Q, Yang, F, Li, Z & Li, M 2023, A review of vision-based road detection technology for unmanned vehicles. in IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings. IEEE Intelligent Vehicles Symposium, Proceedings, vol. 2023-June, IEEE, 34th IEEE Intelligent Vehicles Symposium, IV 2023, Anchorage, United States, 4/06/23. https://doi.org/10.1109/IV55152.2023.10186761

A review of vision-based road detection technology for unmanned vehicles. / Liu, Chaoyang; Li, Xueyuan; Liu, Qi et al.
IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings. IEEE, 2023. (IEEE Intelligent Vehicles Symposium, Proceedings; Vol. 2023-June).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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 - IEEE

T2 - 34th IEEE Intelligent Vehicles Symposium, IV 2023

Y2 - 4 June 2023 through 7 June 2023

ER -

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this