In the stage of man-machine cooperative driving, accurately predicting the trajectory of the
ego vehicle can help intelligent system understand future risk and adjust the control …

In recent years, deep learning techniques have been employed within Intelligent
Transportation Systems (ITS) to outperform classical trajectory prediction models, aiming for …

As the proliferation and development of automated container terminal continue, the issues of
efficiency and safety become increasingly significant. The container yard is one of the most …

In urban road traffic environments, intention estimation and trajectory prediction of
surrounding vehicles are necessary prerequisites for autonomous vehicles to plan their own …

The development of autonomous vehicles has brought a great impact and changes to the
transportation industry, offering numerous benefits in terms of safety and efficiency. How …

Dynamical object trajectory prediction is one of the most sophisticated tasks in computer
vision, but is a highly urgent problem applied to robotics and autonomous vehicles. In this …

With the increasing requirements of real-time traffic management in urban transportation,
vehicle destination prediction data, as an important part of smart city brain data, is becoming …