From Synthetic Data to Real-World Efficiency: Automated Vehicle Damage Detection and Vehicle Parts Segmentation

The growing urbanization of modern societies intensifies the demand for sustainable mobility that aligns efficiency, safety, and environmental responsibility in smart cities. Shared vehicle systems address this need, but remain limited by subjective manual inspections that hinder operational efficie...

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主要な著者:	Catia Loureiro, Sandra Dixe, Cristiana Neto, Antonio Silva, Beatriz Miranda, Ricardo Rodrigues, Nuno M. C. Da Costa, Carlos Ferreira, Hugo Peixoto, Jose Machado, Duarte Fernandes
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2026-01-01
シリーズ:	IEEE Access
主題:	Benchmarking computer vision object detection quantization segmentation synthetic dataset
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11346931/
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