Cooperative computing is promising to enhance the performance and safety of autonomous
vehicles benefiting from the increase in the amount, diversity as well as scope of data …

Semantic segmentation of LiDAR point clouds is an important task in autonomous driving.
However, training deep models via conventional supervised methods requires large …

Briefing: In the construction of Metaverses, sensors that are referred to as the “bridge of
information transmission”, play a key role. The functionality and efficiency of today's sensors …

The tradeoff between speed and accuracy is important in semantic segmentation problems,
especially for resource-constrained platforms, such as intelligent vehicles. In this paper, we …

3D semantic segmentation is a fundamental task for robotic and autonomous driving
applications. Recent works have been focused on using deep learning techniques, whereas …

In cyber–physical–social systems, smart manufacturing has to overcome challenges, such
as uncertainty, diversity, complexity in modeling, long-delayed responses to market …

Briefing: The demand for food is tremendously increasing with the growth of the world
population, which necessitates the development of sustainable agriculture under the impact …

Large-scale synthetic traffic image datasets have been widely used to make compensate for
the insufficient data in real world. However, the mismatch in domain distribution between …

Metaverses have caused significant changes in the industry and their academic foundation
can be traced back to the term cyber–physical–social systems (CPSS), which was proposed …

The printed circuit boards (PCBs) industry is one of the fastest-growing industries in recent
decades. The PCB manufacturing process is highly complicated and severely affected by …