Publications

De Iaco, R. . (2019). Motion Planning and Safety for Autonomous Driving. Waterloo. Retrieved from http://hdl.handle.net/10012/15303 (Original work published 2019)

Jaeger, M. ., Jensen, P. G., Larson, K. ., Legay, A. ., Sedwards, S. ., & Taankvist, J. H. (2019). Teaching Stratego to Play Ball: Optimizing Continuous Space MDPs. Taipei, Taiwan: Springer.

Chao, E. . (2019). Autonomous Driving: Mapping and Behavior Planning for Crosswalks. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15121 (Original work published 2019)

Vernekar, S. ., Gaurav, A. ., Abdelzad, V. ., Denouden, T. ., Salay, R. ., & Czarnecki, K. . (2019). Out-of-distribution Detection in Classifiers via Generation. Out-of-Distribution Detection in Classifiers via Generation. Presented at the. https://sites.google.com/view/neurips19-safe-robust-workshop. Retrieved from https://drive.google.com/file/d/0B3mY6u_lryzdel9WOW1XTVA0aDIwazJDcG9ORlZrZWFOd0xJ/view (Original work published 2019)

Kothig, A. ., Ilievski, M. ., Grasse, L. ., Rea, F. ., & Tata, M. . (2019). A Bayesian System for Noise-Robust Binaural Sound Localisation for Humanoid Robots. A Bayesian System for Noise-Robust Binaural Sound Localisation for Humanoid Robots. Presented at the. IEEE. https://doi.org/10.1109/ROSE.2019.8790411 (Original work published 2019)

Dillen, N. . (2019). Passenger Response to Driving Style in an Autonomous Vehicle. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15114 (Original work published 2019)

Lee, J. ., Balakrishnan, A. ., Gaurav, A. ., Czarnecki, K. ., & Sedwards, S. . (2019). WiseMove: A Framework to Investigate Safe Reinforcement Learning for Autonomous Driving. Glasgow, Scotland: Springer.

Phan, B. T. (2019). Bayesian Deep Learning and Uncertainty in Computer Vision. Waterloo. Retrieved from http://hdl.handle.net/10012/15056 (Original work published 2019)

Khan, S. ., Phan, B. T., Salay, R. ., & Czarnecki, K. . (2019). ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. Presented at the. Long Beach, California, USA: IEEE. Retrieved from https://bit.ly/2G3MA1P (Original work published 2019)

Kido, K. ., Sedwards, S. ., & Hasuo, I. . (2018). Bounding Errors Due to Switching Delays in Incrementally Stable Switched Systems. Oxford, United Kingdom: Elsevier. Retrieved from https://www.sciencedirect.com/science/article/pii/S2405896318311583