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)
References
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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)
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)
Larter, S. (2022). A Hierarchical Pedestrian Behaviour Model to Reproduce Realistic Human Behaviour in a Traffic Environment Retrieved from http://hdl.handle.net/10012/18094 (Original work published 2022)
Bouchard, F., Sedwards, S., & Czarnecki, K. (2022). A Rule-Based Behaviour Planner for Autonomous Driving Berlin (virtual): Springer.
2021
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