Dual-stream detection and segmentation framework for vision based unmanned ground vehicle pothole perception on unstructured roads

Dual-stream detection and segmentation framework for vision based unmanned ground vehicle pothole perception on unstructured roads

Abstract Reliable perception of road surface damage is considered essential for ensuring safe and autonomous operation of Unmanned Ground Vehicles (UGVs) on unstructured roads, where irregular textures, blurred boundaries, and environmental interference are often encountered. To overcome the limitat...

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Bibliographic Details
Main Authors: Chenyuan He, He Yang, Zhouyu Zhang, Hai Wang, Yingfeng Cai, Long Chen, Can Zhong, Yiqun Zhang
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Unmanned Ground Vehicle (UGV)
Pothole perception
Deep learning
Multi-task learning
Detection and segmentation
Online Access:https://doi.org/10.1007/s44443-025-00236-7
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https://doi.org/10.1007/s44443-025-00236-7

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