Autonomous driving technology has achieved significant breakthroughs in open scenarios,
enabling the deployment of excellent positioning, detection, and navigation algorithms on …

In dense traffic scenarios, ensuring safety while kee** high task performance for
autonomous driving is a critical challenge. To address this problem, this paper proposes a …

Considerable research efforts have been devoted to the development of motion planning
algorithms, which form a cornerstone of the autonomous driving system (ADS). Nonetheless …

Autonomous driving in urban scenarios faces uncertain dynamic changes, especially in
China, where a dense mixture of cars, cyclists and pedestrians travel together on roads with …

Achieving fully autonomous driving in urban traffic scenarios is a significant challenge that
necessitates balancing safety, efficiency, and compliance with traffic regulations. In this …

Motion planning is a vital part of autonomous driving. To ensure the safety of autonomous
vehicles, motion planning algorithms need to precisely model potential collision risks and …

Velocity of autonomous underwater vehicles (AUVs) plays a significant role in the energy
consumption of these vehicles, as well as their other capabilities, such as localization …

Ensuring safety and driving consistency is a significant challenge for autonomous vehicles
operating in partially observed environments. This work introduces a consistent parallel …

This letter presents a conflict resolution strategy for an autonomous vehicle mounted with a
stereo camera approaching an unsignalized T-intersection. A mathematical model for …

Traditional trajectory planning methods for autonomous vehicles have several limitations.
For example, heuristic and explicit simple rules limit generalizability and hinder complex …