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Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
RouteE: A Vehicle Energy Consumption Prediction Engine
Safety Assurance Concepts for Automated Driving Systems
Simulation of Telemetry Signals of a Car Using Machine Learning
THC Concentration Estimation Model using FTIR Spectrum
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
The Path to Safe Machine Learning for Automotive Applications
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
Use of Digital Olfaction to Standardize Cabin Odor Testing in Automotive Interiors
Vibration Rating Prediction Using Machine Learning in a Dynamic Skip Fire Engine
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking