Tang, M. Q., Sedwards, S. ., Huang, C. ., & Czarnecki, K. . (2025). How Hard is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+. IEEE Intelligent Vehicles Symposium (IV). Presented at the. Cluj, Romania: IEEE.
Reference author: Krzysztof Czarnecki
First name
Krzysztof
Last name
Czarnecki
Huang, C. ., Abdelzad, V. ., Sedwards, S. ., & Czarnecki, K. . (2025). VADet: Multi-Frame LiDAR 3D Object Detection Using Variable Aggregation. 2025 IEEE CVF Winter Conference on Applications of Computer Vision (WACV). Presented at the. Tucson, AZ, USA: IEEE. https://doi.org/10.1109/WACV61041.2025.00079 (Original work published 2025)
Huang, C. ., Abdelzad, V. ., Sedwards, S. ., & Czarnecki, K. . (2024). SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling. 2024 IEEE CVF Winter Conference on Applications of Computer Vision (WACV). Presented at the. Waikoloa, HI, USA: IEEE. https://doi.org/10.1109/WACV57701.2024.00332 (Original work published 2024)
Thérien, B. ., Huang, C. ., Chow, A. ., & Czarnecki, K. . (2024). Object Re-identification from Point Clouds. IEEE/CVF/Winter/Conference/on/Applications/of/Computer/Vision/(WACV). Presented at the. IEEE. https://doi.org/https://doi.ieeecomputersociety.org/10.1109/WACV57701.2024.00819
Yacoub, M. ., Antkiewicz, M. ., Czarnecki, K. ., & McPhee, J. . (2024). Gain-scheduled model predictive controller for vehicle-following trajectory generation for autonomous vehicles. Vehicle System Dynamics, 26. https://doi.org/10.1080/00423114.2024.2373140 (Original work published 2024)
Queiroz, R. ., Sharma, D. ., Caldas, R. ., Czarnecki, K. ., Garcia, S. ., Berger, T. ., & Pelliccione, P. . (2024). A driver-vehicle model for ADS scenario-based testing. IEEE Transactions on Intelligent Transportation Systems, 14. https://doi.org/10.1109/TITS.2024.3373531 (Original work published 2024)
Wang, J. ., Pant, Y. V., Zhao, L. ., Antkiewicz, M. ., & Czarnecki, K. . (2024). Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles. IEEE Transactions on Intelligent Transportation Systems, 16. https://doi.org/10.1109/TITS.2024.3384050 (Original work published 2024)
Czarnecki, K. ., & Salay, R. . (2018). Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. Presented at the. Väster\r as, Sweden: Springer. (Original work published 2018)
Angus, M. ., ElBalkini, M. ., Khan, S. ., Harakeh, A. ., Andrienko, O. ., Reading, C. ., Czarnecki, K. ., & Waslander, S. . (2018). Unlimited Road-scene Synthetic Annotation (URSA) Dataset. Unlimited Road-Scene Synthetic Annotation (URSA) Dataset. Presented at the. Maui, Hawaii, USA: IEEE. Retrieved from https://arxiv.org/abs/1807.06056 (Original work published 2018)
Zulkoski, E. ., Bright, C. ., Heinle, A. ., Kotsireas, I. ., Czarnecki, K. ., & Ganesh, V. . (2017). Combining SAT Solvers with Computer Algebra Systems to Verify Combinatorial Conjectures. Journal of Automated Reasoning, 58, 339. https://doi.org/10.1007/s10817-016-9396-y (Original work published 2011)