Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm
Road lane markings are critical for ensuring road user safety. To improve their safety, there are even different types of road lane markings, such as single solid lines, double solid lines, dashed single line etc. Their colors generally are white and yellow. This road lane markings mainly used to...
Saved in:
Main Authors: | Sophian, Ali, Azmi, Nur Hanisah, Bawono, Ali Aryo |
---|---|
Format: | Conference or Workshop Item |
Language: | English English English |
Published: |
2021
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/94362/1/ICMAAE21_118_Manuscript%20-%20ALI%20SOPHIAN%20r2.pdf http://irep.iium.edu.my/94362/2/acceptance%20email.pdf http://irep.iium.edu.my/94362/3/icmaae21-technical-sessionschedule.pdf http://irep.iium.edu.my/94362/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assessing the performance of YOLOv5, YOLOv6, and YOLOv7 in road defect detection and classification: a comparative study
by: Mohd Yusof, Najiha 'Izzaty, et al.
Published: (2024) -
Efficient pavement crack detection and classification using custom YOLOv7 model
by: Ashraf, Arselan, et al.
Published: (2023) -
A lane detection and marking system on unmarked road
by: Ibrahim, Sallehuddin, et al.
Published: (2022) -
Advances in lane marking detection algorithms for all-weather conditions
by: Ab. Ghani, Hadhrami, et al.
Published: (2021) -
Simple robust road lane detection algorithm
by: Zamzuri, Hairi, et al.
Published: (2014)