Tim Allan Wheeler

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 13

Top Topics

Safety Analysis

Recurrent Neural Networks

Continuous Data

Probabilistic Model

Top Venues

Intelligent Vehicles Symposium

IEEE Trans. Intell. Veh.

Publications

Tim Allan Wheeler, Mykel J. Kochenderfer
Critical Factor Graph Situation Clusters for Accelerated Automotive Safety Validation. IV (2019)
Jeremy Morton, Tim Allan Wheeler, Mykel J. Kochenderfer
Closed-Loop Policies for Operational Tests of Safety-Critical Systems. IEEE Trans. Intell. Veh. 3 (3) (2018)
Jeremy Morton, Tim Allan Wheeler, Mykel J. Kochenderfer
Optimal Testing of Self-Driving Cars. CoRR (2017)
Tim Allan Wheeler, Martin Holder, Hermann Winner, Mykel J. Kochenderfer
Deep stochastic radar models. Intelligent Vehicles Symposium (2017)
Jeremy Morton, Tim Allan Wheeler, Mykel J. Kochenderfer
Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior. IEEE Trans. Intell. Transp. Syst. 18 (5) (2017)
Alex Kuefler, Jeremy Morton, Tim Allan Wheeler, Mykel John Kochenderfer
Imitating Driver Behavior with Generative Adversarial Networks. CoRR (2017)
Tim Allan Wheeler, Martin Holder, Hermann Winner, Mykel J. Kochenderfer
Deep Stochastic Radar Models. CoRR (2017)
Yi-Chun Chen, Tim Allan Wheeler, Mykel J. Kochenderfer
Learning Discrete Bayesian Networks from Continuous Data. J. Artif. Intell. Res. 59 (2017)
Maxim Egorov, Zachary N. Sunberg, Edward Balaban, Tim Allan Wheeler, Jayesh K. Gupta, Mykel J. Kochenderfer
POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty. J. Mach. Learn. Res. 18 (2017)
Derek J. Phillips, Tim Allan Wheeler, Mykel J. Kochenderfer
Generalizable intention prediction of human drivers at intersections. Intelligent Vehicles Symposium (2017)
Alex Kuefler, Jeremy Morton, Tim Allan Wheeler, Mykel J. Kochenderfer
Imitating driver behavior with generative adversarial networks. Intelligent Vehicles Symposium (2017)
Tim Allan Wheeler, Mykel J. Kochenderfer
Factor graph scene distributions for automotive safety analysis. ITSC (2016)
Tim Allan Wheeler, Philipp Robbel, Mykel J. Kochenderfer
Analysis of microscopic behavior models for probabilistic modeling of driver behavior. ITSC (2016)
Yi-Chun Chen, Tim Allan Wheeler, Mykel John Kochenderfer
Learning Discrete Bayesian Networks from Continuous Data. CoRR (2015)
Tim Allan Wheeler, Mykel J. Kochenderfer, Philipp Robbel
Initial Scene Configurations for Highway Traffic Propagation. ITSC (2015)
Tim Allan Wheeler, Philipp Robbel, Mykel J. Kochenderfer
A Probabilistic Framework for Microscopic Traffic Propagation. ITSC (2015)