Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted
increasing interest as it helps prevent collision accidents and eliminate potential …

The significant contribution of human errors, accounting for approximately 94%(with a
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …

The ability to accurately predict the trajectory of surrounding vehicles is a critical hurdle to
overcome on the journey to fully autonomous vehicles. To address this challenge, we …

In driving scenes, road agents often engage in frequent interaction and strive to understand
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …

Enhancing the accuracy and reliability of perception systems in automated vehicles is
critical, especially under varying driving conditions. Unfortunately, the challenges of adverse …

In dynamic and interactive autonomous driving scenarios, accurately predicting the future
movements of vehicle agents is crucial. However, current methods often fail to capture …

In autonomous vehicle (AV) technology, the ability to accurately predict the movements of
surrounding vehicles is paramount for ensuring safety and operational efficiency …

The field of cognitive computing, conversational AI has witnessed remarkable progress,
largely driven by the development of the Generative Pre-trained Transformer (GPT) series …

Pedestrian trajectory prediction is crucial in driverless applications. To accurately predict the
high-quality trajectory of pedestrians, it is necessary to consider the reasonable social …

As self-driving vehicles become more prevalent, the speed and accuracy of detecting
surrounding objects through onboard sensing technology have become increasingly …