Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving

Kinematics-aware multi-graph attention network with residual learning for heterogeneous trajectory prediction

CV2X-LOCA: Roadside Unit-Enabled Cooperative Localization Framework for Autonomous Vehicles

EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Prediction

Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems

Dynamic urban traffic rerouting with fog-cloud reinforcement learning

Leveraging vehicle connectivity and autonomy for highway bottleneck congestion mitigation using reinforcement learning

Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles

Wi-CL: Low-Cost WiFi-Based Detection System for Nonmotorized Traffic Travel Mode Classification

A taxonomy for autonomous vehicles considering ambient road infrastructure

Longitudinal control of connected and automated vehicles among signalized intersections in mixed traffic flow with deep reinforcement learning approach

Development and testing of an image transformer for explainable autonomous driving systems

Leveraging UAV Capabilities for Vehicle Tracking and Collision Risk Assessment at Road Intersections

GAQ-EBkSP: a DRL-based urban traffic dynamic rerouting framework using fog-cloud architecture

Tradeoffs between safe/comfortable headways versus mobility-enhancing headways in an automated driving environment: preliminary insights using a driving simulator experiment

Graph neural network and reinforcement learning for multi-agent cooperative control of connected autonomous vehicles

Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment

A cooperative crash avoidance framework for autonomous vehicle under collision-imminent situations in mixed traffic stream

A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information