Thérien, B., Huang, C., Chow, A., & Czarnecki, K. (2024). Object Re-identification from Point Clouds Presented at the IEEE/CVF/Winter/Conference/on/Applications/of/Computer/Vision/(WACV) conference. IEEE. https://doi.org/https://doi.ieeecomputersociety.org/10.1109/WACV57701.2024.00819
References
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2024
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, 63(6), 26. https://doi.org/10.1080/00423114.2024.2373140 (Original work published 2024)
Huang, C., Abdelzad, V., Sedwards, S., & Czarnecki, K. (2024). SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling Presented at the 2024 IEEE CVF Winter Conference on Applications of Computer Vision (WACV) conference. Waikoloa, HI, USA: IEEE. https://doi.org/10.1109/WACV57701.2024.00332 (Original work published 2024)
Tang, M. Q., Abdelzad, V., Huang, C., Sedwards, S., & Czarnecki, K. (2024). 3D Object Detection with Track-Based Auto-Labelling Using Very Sparsely Labelled Data Presented at the International Conference on Intelligent Transportation Systems (ITSC) conference. Edmonton, AB, Canada: IEEE. https://doi.org/10.1109/ITSC58415.2024.10919741 (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
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)
2023
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).
2022
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)