A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving
In autonomous vehicle (AV) technology, the ability to accurately predict the movements of
surrounding vehicles is paramount for ensuring safety and operational efficiency …
surrounding vehicles is paramount for ensuring safety and operational efficiency …
A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment
As autonomous driving technology progresses, the need for precise trajectory prediction
models becomes paramount. This paper introduces an innovative model that infuses …
models becomes paramount. This paper introduces an innovative model that infuses …
Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation
This paper introduces a novel trajectory prediction approach for autonomous vehicles (AVs),
adeptly addressing the challenges of missing observations and the need for adherence to …
adeptly addressing the challenges of missing observations and the need for adherence to …
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction
Accurately and safely predicting the trajectories of surrounding vehicles is essential for fully
realizing autonomous driving (AD). This paper presents the Human-Like Trajectory …
realizing autonomous driving (AD). This paper presents the Human-Like Trajectory …
Bi-Level Control of Weaving Sections in Mixed Traffic Environments with Connected and Automated Vehicles
Connected and automated vehicles (CAVs) can be beneficial for improving the operation of
highway bottlenecks such as weaving sections. This paper proposes a bi-level control …
highway bottlenecks such as weaving sections. This paper proposes a bi-level control …
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving
This paper introduces a trajectory prediction model tailored for autonomous driving, focusing
on capturing complex interactions in dynamic traffic scenarios without reliance on high …
on capturing complex interactions in dynamic traffic scenarios without reliance on high …
Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving
Trajectory prediction is a cornerstone in autonomous driving (AD), playing a critical role in
enabling vehicles to navigate safely and efficiently in dynamic environments. To address this …
enabling vehicles to navigate safely and efficiently in dynamic environments. To address this …