This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are developing software and hardware for …

For decades, motorsport has been an incubator for innovations in the automotive sector and
brought forth systems, like, disk brakes or rearview mirrors. Autonomous racing series such …

In computer vision and mobile robotics, autonomous navigation is crucial. It enables the
robot to navigate its environment, which consists primarily of obstacles and moving objects …

How to plan the collision-free path effectively is crucial for autonomous ground vehicles to
avoid collisions. The vehicle may lose its lateral dynamic stability due to high speed, time …

Autonomous racing has increasingly become a research subject as it provides insights into
dynamic, high-speed situations. One crucial aspect of handling these situations, especially …

The complexity of the environment makes rapidly-exploring random tree (RRT) difficult to
handle dynamic obstacle avoidance and system constraint in real-time path planning for …

Collaborative robots, also known as cobots, are designed to work alongside humans in a
shared workspace and provide assistance to them. With the rapid development of robotics …

Computer vision plays a significant role in mobile robot navigation due to the abundance of
information extracted from digital images. On the basis of the captured images, mobile …

Local path planning is a key task for the motion planners of autonomous vehicles since it
commands the vehicle across its environment while avoiding any obstacles. To perform this …