Road Surface

Road surface analysis is crucial for infrastructure maintenance, autonomous driving, and traffic safety, focusing on automated detection and classification of road conditions and types. Current research employs deep learning models, particularly convolutional neural networks (CNNs) and graph neural networks (GNNs), often incorporating multimodal data (RGB, thermal, LiDAR) to improve accuracy and robustness across diverse geographical locations and weather conditions. These advancements enable more efficient road maintenance, safer autonomous navigation, and improved real-time hazard detection through systems integrating visual, audio, and sensor data.