Nguyen, V. D. (2022). Out-of-Distribution Detection for LiDAR-based 3D Object Detection. Retrieved from http://hdl.handle.net/10012/17902 (Original work published 2022)
Publications
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Kahn, M. ., Sarkar, A. ., & Czarnecki, K. . (2022). I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames.. I Know You Can’t See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames. Presented at the. Retrieved from https://arxiv.org/abs/2109.09807
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)
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)
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)
Abdelzad, V. ., Lee, J. ., Sedwards, S. ., Soltani, S. ., & Czarnecki, K. . (2021). Non-divergent Imitation for Verification of Complex Learned Controllers. Shenzhen, China (virtual): IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533410
Ernst, G. ., Sedwards, S. ., Zhang, Z. ., & Hasuo, I. . (2021). Falsification of Hybrid Systems Using Adaptive Probabilistic Search. ACM Transactions on Modeling and Computer Simulation (TOMACS), 31, 1-22. https://doi.org/10.1145/3459605
Lee, S. ., Lee, J. ., & Hasuo, I. . (2021). Predictive PER: Balancing Priority and Diversity Towards Stable Deep Reinforcement Learning. Shenzhen, China (virtual): IEEE. https://doi.org/10.1109/IJCNN52387.2021.9534243
Lee, J. ., & Sutton, R. S. (2021). Policy iterations for reinforcement learning problems in continuous time and space \textemdash Fundamental theory and methods. Automatica, 126, 109421, 15 pages. https://doi.org/10.1016/j.automatica.2020.109421 (Original work published 2021)