Highway crack segmentation from unmanned aerial vehicle images using deep learning
Z Hong, F Yang, H Pan, R Zhou… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
Highway crack segmentation is a critical task for highway infrastructure monitoring and
maintenance. While imagery from unmanned aerial vehicles (UAVs) is applied to the task of …
maintenance. While imagery from unmanned aerial vehicles (UAVs) is applied to the task of …
[HTML][HTML] Rdd-yolov5: road defect detection algorithm with self-attention based on unmanned aerial vehicle inspection
Y Jiang, H Yan, Y Zhang, K Wu, R Liu, C Lin - Sensors, 2023 - mdpi.com
Road defect detection is a crucial aspect of road maintenance projects, but traditional
manual methods are time-consuming, labor-intensive, and lack accuracy. Leveraging deep …
manual methods are time-consuming, labor-intensive, and lack accuracy. Leveraging deep …
Crack detection on the road in aerial image using mask R-CNN
MH Lee, KW Nam, CW Lee - Journal of the Korea Industrial …, 2019 - koreascience.kr
Conventional crack detection methods have a problem of consuming a lot of labor, time and
cost. To solve these problems, an automatic detection system is needed to detect cracks in …
cost. To solve these problems, an automatic detection system is needed to detect cracks in …
Enhancement of UAV-Based Spatial Positioning Using the Triangular Center Method with Multiple GPS
Recently, a technique for acquiring spatial information data using UAV (Unmanned Aerial
Vehicle) has been greatly developed. It is a very crucial issue of the GIS (Geographic …
Vehicle) has been greatly developed. It is a very crucial issue of the GIS (Geographic …
Road Defect Recognition Based on CNN
Y Zhang, J Chen, Z Chen - 3D Imaging Technologies—Multi-dimensional …, 2021 - Springer
In recent years, with the development of traffic roads, how to quickly and efficiently identify
the number of defects on each road has become increasingly important. In order to solve the …
the number of defects on each road has become increasingly important. In order to solve the …
Mask R-CNN 을이용한항공영상에서의도로균열검출
이민혜， 남광우， 이창우 - 한국산업정보학회논문지, 2019 - dbpia.co.kr
기존의 균열 검출 방법은 많은 인력과 시간, 비용이 소모되는 문제점이 있다. 이러한 문제를
해결하고자 차량이나 드론을 이용하여 취득한 영상에서 균열 정보를 파악하고 정보화하는 …
해결하고자 차량이나 드론을 이용하여 취득한 영상에서 균열 정보를 파악하고 정보화하는 …
[PDF][PDF] Vehicle Detection from UAV Remote Sensing Images Using Deep Learning
L Tan, H Bagan - acrs-aars.org
With the development of the city, the number of vehicles in the city is constantly increasing, a
large number of vehicles not only increase traffic congestion, but also contribute to the …
large number of vehicles not only increase traffic congestion, but also contribute to the …
다중센싱기술을활용한도로표면결함탐지
김정국， 서승일 - 비파괴검사학회지, 2023 - dbpia.co.kr
일반적으로 도로 표면은 겨울철과 여름철을 거치며 온도 변화를 겪게 되며 폭우나 눈, 차량의
차축중량 등에 의해 손상되기 쉽다. 본 연구에서는 적외선, 레이저, 비전 센싱 등 다양한 센싱 …
차축중량 등에 의해 손상되기 쉽다. 본 연구에서는 적외선, 레이저, 비전 센싱 등 다양한 센싱 …