In the past decade, the autonomous driving industry has seen tremendous advancements
thanks to the progress in computation, artificial intelligence, sensing capabilities, and other …

This thesis is concerned with the development of trajectory planning approaches targeting
autonomous driving applications in dynamic environments shared with other traffic …

Autonomous driving has the potential to significantly improve safety. Although progress has
been made in recent years to deploy automated driving technologies, many situations …

With the development of autonomous driving, it is becoming increasingly common for
autonomous vehicles (AVs) and human-driven vehicles (HVs) to travel on the same roads …

Advances in sensor technologies and computing power have spurred a surge of interest in
autonomous vehicles, such as indoor service robots and self-driving cars. The potential …

Given the current capabilities of autonomous vehicles, one can easily imagine autonomous
vehicles being released on the road in the near future. However, it can be assumed that this …

Autonomous vehicles have made immense progress towards deployment on public roads,
yet navigating safely on roads with both human drivers and autonomous vehicles presents a …

Vehicle autonomy has the potential to bring many social benefits, such as improved traffic
safety and increased productivity. Modern autonomous vehicles are able to sense their local …

The role of motion planning in automated vehicles stands as a critical component that
governs their safe and efficient operation. Motion planning involves devising trajectories for …

In this article, we propose a nonlinear receding horizon game-theoretic planner for
autonomous cars in competitive scenarios with other cars. The online planner is specifically …