Masud, Z. . (2019). Switching GAN-based Image Filters to Improve Perception for Autonomous Driving. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15228 (Original work published 2019)
Publications
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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)
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)
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.
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)
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.
Babaee, R. ., Ganesh, V. ., & Sedwards, S. . (2019). Accelerated Learning of Predictive Runtime Monitors for Rare Failure. Porto, Portugal: Springer.
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)
De Iaco, R. ., Smith, S. L., & Czarnecki, K. . (2019). Learning a Lattice Planner Control Set for Autonomous Vehicles. Learning a Lattice Planner Control Set for Autonomous Vehicles. Presented at the. Paris, France. https://doi.org/10.1109/IVS.2019.8813797
Phan, B. T., Khan, S. ., Salay, R. ., & Czarnecki, K. . (2019). Bayesian Uncertainty Quantification with Synthetic Data. Bayesian Uncertainty Quantification With Synthetic Data. Presented at the. Turku, Finland: SAFECOMP. Retrieved from https://www.waise.org/ (Original work published 2019)