Intelligent vehicles and autonomous driving systems rely on scenario engineering for
intelligence and index (I&I), calibration and certification (C&C), and verification and …

The level of intelligence across various industries, including mining, has experienced a
notable advancement since the introduction of Industry 4.0. However, the societal demands …

Traditional open-pit mineral transportation systems are typically subject to manual
command, frequently leading to vehicular delays and traffic congestion. With the …

The safety of different categories of road users comprising motorized vehicles and
vulnerable road users (VRUs) such as pedestrians and cyclists is one of the priorities of …

In the era of future mobility within Transportation 5.0, autonomy and cooperation across all
road users and smart infrastructure stand as the key features to enhance transportation …

Since the 1990s, the automated process within open-pit mines has been rapidly advanced.
However, mineral transportation, as the most costly and dangerous production process, has …

Crack detection is essential for ensuring road safety and preserving the integrity of
infrastructure. As intelligent transportation systems mature, vehicles equipped with crack …

Map inpainting is an important technology in the production of maps for autonomous driving
vehicles. In recent years, scholars have often used methods such as point cloud inpainting …

The autonomous driving of heavy-duty tracked vehicles (HTVs) is prone to significant
position and posture deviation at the end of walking part in trajectory tracking control, which …

具身智能突破了传统人工智能的界限, 强调了机器与物理世界交互的重要性,
旨在通过促进软硬件一体化智能体的环境适应性学习和智能行为的演化, 解决更多智能系统在 …