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Multi-weather vehicle dataset for camouflage generation

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/multi-weather-vehicle-dataset-camouflage-generation
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This dataset is utilized for adversarial camouflage generation. We collect vehicle datasets in the CARLA simulation environment under 16 weather conditions. These weather conditions are generated by combining four sun altitude angles (-90°, 10°, 45°, 90°) with four fog densities (0, 25, 50, 90). Within each weather scenario,  we randomly choose 16 locations for texture generation. Camera transformation values are randomly selected within specified intervals at each car location. These intervals include four altitude angle intervals ([0, 22.5], [22.5, 45], [45, 67.5], [67.5, 90]), eight azimuth angle intervals([0, 45], [45, 90], ..., [315, 360]), and four distances intervals ([2.5, 7.5], [7.5, 12.5], [12.5, 17.5], [17.5, 22.5]). In total, we employ 32,768 photo-realistic images for texture generation. 
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Zhou, Jiawei
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