Abstract Six-degree-of-freedom (6DoF) object pose estimation is a critical task for robot
manipulation, autonomous vehicles, and augmented reality. Category-level 6DoF object …

Path planning is an crucial research area in robotics. Compared to other path planning
algorithms, the Rapidly-exploring Random Tree (RRT) algorithm possesses both search and …

This paper presents a comprehensive literature review on intelligent driving technologies,
with a special emphasis on Automatic Emergency Collision Avoidance Technology (AECA) …

This study introduces a novel approach to autonomous motion planning, informing an
analytical algorithm with a reinforcement learning (RL) agent within a Frenet coordinate …

In recent times, the path planning of unmanned aerial vehicles (UAVs) in 3D complex flight
environments has become a hot topic in the field of UAV technology. Path planning is a …

Efficient traffic safety management necessitates real‐time crash risk prediction using
expressway characteristics. With the emergence of autonomous vehicles (AVs), the …

With the development of autonomous driving, a mixed traffic flow state composed of
connected automated vehicles (CAVs) and human-driven vehicles (HVs) will last for an …

Road safety through point-to-point interaction autonomous vehicles (AVs) assimilate
different communication technologies for reliable and persistent information sharing. Vehicle …

Accurate decision-making within highly interactive driving environments is vital for the safety
of self-driving vehicles. Despite the significant progress achieved by the existing models for …

In the domain of autonomous industrial manipulators, precise positioning and appropriate
posture selection in path planning are pivotal for tasks involving obstacle avoidance, such …