Lane Crack Detection Based on Saliency
Lane cracks are one of the biggest threats to pavement conditions. The automatic detection of lane cracks can not only assist the evaluation of road quality and quantity but can also be used to develop the best crack repair plan, so as to keep the road level and ensure driving safety. Although crack...
Main Authors: | Shengyuan Zhang, Zhongliang Fu, Gang Li, Aoxiang Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-08-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/17/4146 |
Similar Items
-
Car Detection for Smart Parking Systems Based on Improved YOLOv5
by: Duy-Linh Nguyen, et al.
Published: (2024-05-01) -
Lightweight Helmet Detection Algorithm Using an Improved YOLOv4
by: Junhua Chen, et al.
Published: (2023-01-01) -
Computer Vision-Based Lane Detection and Detection of Vehicle, Traffic Sign, Pedestrian Using YOLOv5
by: Raşit Köker, et al.
Published: (2024-04-01) -
Real-time lane detection for autonomous vehicles using YOLOV5 Segmentation Model
by: Satyabrata Swain, et al.
Published: (2024-12-01) -
A Rapid Bridge Crack Detection Method Based on Deep Learning
by: Yifan Liu, et al.
Published: (2023-08-01)