Birds-Eye-View (BEV) perception can naturally represent natural scenes, which is conducive
to multimodal data processing and fusion. BEV data contain rich semantics and integrate the …

As driving scenarios and autonomous vehicles (AVs) become increasingly intricating, there
is an increasing need for innovative frameworks that can enhance and test AV capabilities …

One of the most challenging problems in human-machine co-work is the gap between
human intention and the machine's understanding and execution. Large Language Models …

The logistics and transportation industry has made significant progress in improving
sustainability, efficiency, and accessibility, primarily due to the continuous development of …

Advanced driver assistance systems (ADAS) hold great promise for improving transportation
safety and efficiency. However, the development of these technologies requires a robust and …

Affective interaction between the intelligent cockpit and humans is becoming an emerging
topic full of opportunities. Robust recognition of the driver's emotions is the first step for …

The emergence of intelligent vehicles brings unique opportunities for the service industry.
This study introduces the concept of autonomous services, a new service paradigm, and …

The 21st century has witnessed the unprecedented evolution of intelligent transportation
systems, and the automotive industry is facing great challenges and opportunities. For the …

The imbalance between the supply and demand of healthcare resources is a global
challenge, which is particularly severe in developing countries. Governments and academic …

Scenarios are a crucial element for developing, testing, and verifying autonomous driving
systems. However, open-source scenarios are often formulated using different …