Ensuring social acceptability is a key factor in the successful operation of autonomous
vehicles. To achieve this, it is important to extract driving habits from expert human drivers …

Recently there has been an increase in the number of available autonomous vehicle (AV)
models. To evaluate and compare the safety of the various models the AVs need to be …

强化学习的发展推动了自动驾驶决策技术的进步, 智能决策技术已成为自动驾驶领域高度关注的
要点问题. 本文以强化学习算法发展为主线, 综述该算法在单车自动驾驶决策领域的深入应用 …

With the development of communication technology and artificial intelligence technology,
intelligent vehicle has become a very important part of Internet of Things technology. At …

Reinforcement learning is a widely used approach to autonomous navigation, showing
potential in various tasks and robotic setups. Still, it often struggles to reach distant goals …

In this paper, a novel and complete navigation system is proposed for mobile robots in a
park environment, which can achieve safe and stable navigation as well as robust dynamic …

The autonomous walking of an underground load-haul-dump (LHD) machine is a current
research hotspot. The route of an underground LHD machine is generally definite, and most …

End-to-end autonomous driving models are widely used currently to avoid error
transmission. The training of these models is affected by the imbalance of the training labels …

It is difficult to perform 3D reconstruction from on-vehicle gathered video due to the large
forward motion of the vehicle. Even object detection and human sensing models perform …

Safety has been a key goal for autonomous driving since its inception, and we believe
recognizing and responding to risk is a key component of safety. In this work, we aim to …