DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism
Objective. Computer vision-based up-to-date accurate damage classification and
localization are of decisive importance for infrastructure monitoring, safety, and the …
localization are of decisive importance for infrastructure monitoring, safety, and the …
Deep learning-based road damage detection and classification for multiple countries
Many municipalities and road authorities seek to implement automated evaluation of road
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
Pothole and plain road classification using adaptive mutation dipper throated optimization and transfer learning for self driving cars
Self-driving car plays a crucial role in implementing traffic intelligence. Road smoothness in
front of self-driving cars has a significant impact on the car's driving safety and comfort …
front of self-driving cars has a significant impact on the car's driving safety and comfort …
Concrete road crack detection using deep learning-based faster R-CNN method
Concrete roads have high durability and long-term performance. To ensure this, proper
design, good quality application and necessary maintenance are essential …
design, good quality application and necessary maintenance are essential …
Transfer learning-based road damage detection for multiple countries
D Arya, H Maeda, SK Ghosh, D Toshniwal… - ar** effective models for automatic road damage detection is challenging requiring …
YOLO-LWNet: A lightweight road damage object detection network for mobile terminal devices
C Wu, M Ye, J Zhang, Y Ma - Sensors, 2023 - mdpi.com
To solve the demand for road damage object detection under the resource-constrained
conditions of mobile terminal devices, in this paper, we propose the YOLO-LWNet, an …
conditions of mobile terminal devices, in this paper, we propose the YOLO-LWNet, an …