Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework
Autonomous driving systems (ADSs) have the potential to revolutionize transportation by
improving traffic safety and efficiency. As the core component of ADSs, maneuver decision …
improving traffic safety and efficiency. As the core component of ADSs, maneuver decision …
Enhancing Longitudinal Velocity Control With Attention Mechanism-Based Deep Deterministic Policy Gradient (DDPG) for Safety and Comfort
The transportation system is moving towards higher levels of autonomy. Longitudinal speed
control, or adaptive cruise control (ACC), is intended to provide driver assistance by …
control, or adaptive cruise control (ACC), is intended to provide driver assistance by …
Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving
Autonomous driving is a rapidly advancing field that promises to revolutionize the
transportation industry through an intelligent perception-and-decision paradigm. Despite …
transportation industry through an intelligent perception-and-decision paradigm. Despite …
Smart: A decision-making framework with multi-modality fusion for autonomous driving based on reinforcement learning
Decision-making in autonomous driving is an emerging technology that has rapid progress
over the last decade. In single-lane scenarios, autonomous vehicles should simultaneously …
over the last decade. In single-lane scenarios, autonomous vehicles should simultaneously …
Parameterized Decision-making with Multi-modal Perception for Autonomous Driving
Autonomous driving is an emerging technology that has advanced rapidly over the last
decade. Modern transportation is expected to benefit greatly from a wise decision-making …
decade. Modern transportation is expected to benefit greatly from a wise decision-making …