Ilievski, M. . (2020). WiseBench: A Motion Planning Benchmarking Framework for Autonomous Vehicles. Waterloo. Retrieved from http://hdl.handle.net/10012/16422 (Original work published 2020)
Publications
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Balakrishnan, A. . (2020). Closing the Modelling Gap: Transfer Learning from a Low-Fidelity Simulator for Autonomous Driving. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15570 (Original work published 2020)
Hurl, B. . (2019). Local and Cooperative Autonomous Vehicle Perception from Synthetic Datasets. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15118 (Original work published 2019)
Babaee, R. ., Ganesh, V. ., & Sedwards, S. . (2019). Accelerated Learning of Predictive Runtime Monitors for Rare Failure. Porto, Portugal: Springer.
Li, C. ., & Czarnecki, K. . (2019). Urban Driving with Multi-Objective Deep Reinforcement Learning. Urban Driving With Multi-Objective Deep Reinforcement Learning. Presented at the. Montreal: IFAAMAS.
Balasubramanian, V. . (2019). 3D Online Multi-Object Tracking for Autonomous Driving. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/14994 (Original work published 2019)
Queiroz, R. ., Berger, T. ., & Czarnecki, K. . (2019). GeoScenario: An Open DSL for Autonomous Driving Scenario Representation. GeoScenario: An Open DSL for Autonomous Driving Scenario Representation. Presented at the. Paris: IEEE.
Angus, M. . (2019). Towards Pixel-Level OOD Detection for Semantic Segmentation. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15004 (Original work published 2019)
Deng, J. . (2019). MLOD: A multi-view 3D object detection based on robust feature fusion method. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15086 (Original work published 2019)
Ernst, G. ., Sedwards, S. ., Zhang, Z. ., & Hasuo, I. . (2019). Fast Falsification of Hybrid Systems using Probabilistically Adaptive Input. Glasgow, Scotland: Springer.