Predicting the trajectories of surrounding objects is a critical task for self-driving vehicles and
many other autonomous systems. Recent works demonstrate that adversarial attacks on …

Trajectory generation and trajectory prediction are two critical tasks for autonomous
vehicles, which generate various trajectories during development and predict the trajectories …

Autonomous Driving (AD) faces crucial hurdles for commercial launch, notably in the form of
diminished public trust and safety concerns from long-tail unforeseen driving scenarios. This …

The recent development of cloud computing and edge computing shows great promise for
the Connected and Automated Vehicle (CAV), by enabling CAVs to offload their massive on …

Autonomous driving systems rely on precise trajectory prediction for safe and efficient
motion planning. Despite considerable efforts to enhance prediction accuracy, inherent …

Neural networks are being applied to a wide range of tasks in autonomous systems, such as
perception, prediction, planning, control, and general decision making. While they may …

Abstract Machine learning-based techniques have shown great promises in perception,
prediction, planning, and general decision-making for improving task performance of …

This research addresses a critical and largely unresolved challenge in the field of sequential
decision-making: operating effectively in non-stationary environments. These environments …