Unmanned ships have drawn widespread attention for their potential to enhance
navigational safety, minimize human errors, and improve shipping efficiency. Nevertheless …

In public roads, autonomous vehicles (AVs) face the challenge of frequent interactions with
human-driven vehicles (HDVs), which render uncertain driving behavior due to varying …

The cooperation between connected and automated vehicles (CAVs) has emerged as a
promising way to improve traffic efficiency and safety for ramp merging on highways …

Advanced driver assistance systems typically support the driver in cases where the driver is
likely to fail the driving task. The challenge, from a system perspective, is to accurately detect …

For autonomous vehicles, scene understanding is still one of the major challenges, which
needs to be well handled to avoid jittery decisions and unsmooth trajectories. Furthermore …

Autonomous driving requires efficient and safe decision making and motion planning in
dynamic and uncertain environments. Future movement of surrounding vehicles is often …

To address the challenge of partially observable environment states in multi-ship collision
avoidance decision-making, a novel collision avoidance decision model is developed based …

Enforcing safety while preventing overly conservative behaviors is essential for autonomous
vehicles to achieve high task performance. In this paper, we propose a barrier-enhanced …

Robotaxis tend to hesitate when encountering obstacles with uncertain future trajectories
because their decision-making strategies are overly cautious, aiming to ensure robust …

Autonomous vehicle racing has attracted extensive interest due to its great potential in
autonomous driving at the extreme limits. Model-based and learning-based methods are …