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.

Dataset Files

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[1] Jiawei Zhou, "Multi-weather vehicle dataset for camouflage generation", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/n1ce-pk06. Accessed: Dec. 08, 2024.
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doi = {10.21227/n1ce-pk06},
url = {http://dx.doi.org/10.21227/n1ce-pk06},
author = {Jiawei Zhou },
publisher = {IEEE Dataport},
title = {Multi-weather vehicle dataset for camouflage generation},
year = {2024} }
TY - DATA
T1 - Multi-weather vehicle dataset for camouflage generation
AU - Jiawei Zhou
PY - 2024
PB - IEEE Dataport
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Jiawei Zhou. (2024). Multi-weather vehicle dataset for camouflage generation. IEEE Dataport. http://dx.doi.org/10.21227/n1ce-pk06
Jiawei Zhou, 2024. Multi-weather vehicle dataset for camouflage generation. Available at: http://dx.doi.org/10.21227/n1ce-pk06.
Jiawei Zhou. (2024). "Multi-weather vehicle dataset for camouflage generation." Web.
1. Jiawei Zhou. Multi-weather vehicle dataset for camouflage generation [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/n1ce-pk06
Jiawei Zhou. "Multi-weather vehicle dataset for camouflage generation." doi: 10.21227/n1ce-pk06