arXiv:2203.02355
공식 코드 · Papers with Code
Computer-Aided Road Inspection: Systems and Algorithms
원문 초록
Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition, driving comfort, and traffic safety. The traditional manual visual road inspection process is pricey, dangerous, exhausting, and cumbersome. Also, manual road inspection results are qualitative and subjective, as they depend entirely on the inspector's personal experience. Therefore, there is an ever-increasing need for automated road inspection systems. This chapter first compares the five most common road damage types. Then, 2-D/3-D road imaging systems are discussed. Finally, state-of-the-art machine vision and intelligence-based road damage detection algorithms are introduced.
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RDD4D: 4D Attention-Guided Road Damage Detection And Classification
RDD2022: A multi-national image dataset for automatic Road Damage Detection
CNN Model & Tuning for Global Road Damage Detection
An Efficient and Scalable Deep Learning Approach for Road Damage Detection
Road Damage Detection using Deep Ensemble Learning
Road Damage Detection and Classification with Detectron2 and Faster R-CNN
토론
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