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)
Publications
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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
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)
Stewart, C. R. (2024). Traffic Rule Checking and Validation (University of Waterloo). University of Waterloo. Retrieved from http://hdl.handle.net/10012/20344
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)
Lee, J. ., Sedwards, S. ., & Czarnecki, K. . (2023). Uniformly Constrained Reinforcement Learning. Accepted for Publication in Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS): Special Issue on Multi-Objective Decision Making (MODeM).
Queiroz, R. . (2022). Scenario Modeling and Execution for Simulation Testing of Automated-Driving Systems. Retrieved from http://hdl.handle.net/10012/18825 (Original work published 2022)
Gu, S. . (2022). XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection. Retrieved from http://hdl.handle.net/10012/17899 (Original work published 2022)
Sarkar, A. . (2022). Empirical Game Theoretic Models for Autonomous Driving: Methods and Applications. Retrieved from http://hdl.handle.net/10012/18751 (Original work published 2022)
Larter, S. ., Queiroz, R. ., Sedwards, S. ., Sarkar, A. ., & Czarnecki, K. . (2022). A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation. Aachen, Germany: IEEE. https://doi.org/10.1109/IV51971.2022.9827035 (Original work published 2022)