Pothole Detection and Assessment on Highways Using Enhanced YOLO Algorithm With Attention Mechanisms
Economic and social prosperity heavily relies on well-maintained highways. However, road maintenance faces challenges due to limited funding and resources, with potholes posing significant safety risks. This work introduces a pothole detector designed to detect and estimate pothole areas for timely...
Saved in:
| Main Authors: | Rufus Rubin, Chinnu Jacob, Sumod Sundar, Gabriel Stoian, Daniela Danciulescu, Jude Hemanth |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/adce/7911336 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Leveraging Perspective Transformation for Enhanced Pothole Detection in Autonomous Vehicles
by: Abdalmalek Abu-raddaha, et al.
Published: (2024-09-01) -
MA-YOLO: A Pest Target Detection Algorithm with Multi-Scale Fusion and Attention Mechanism
by: Yongzong Lu, et al.
Published: (2025-06-01) -
A Novel YOLO Algorithm Integrating Attention Mechanisms and Fuzzy Information for Pavement Crack Detection
by: Qingqing Li, et al.
Published: (2025-06-01) -
Dark-YOLO: A Low-Light Object Detection Algorithm Integrating Multiple Attention Mechanisms
by: Ye Liu, et al.
Published: (2025-05-01) -
Pavement pothole detection system based on deep learning and binocular vision
by: Tian Guan, et al.
Published: (2025-08-01)