Deep neural networks, including convolutional neural networks (CNNs), have been widely
adopted for human activity recognition in recent years. They have attained significant …

Autonomous driving is an important branch of artificial intelligence, and real-time and
accurate object detection is key to ensuring the safe and stable operation of autonomous …

Point cloud semantic segmentation in urban scenes plays a vital role in intelligent city
modeling, autonomous driving, and urban planning. Point cloud semantic segmentation …

With the growing availability of extensive 3D datasets and the rapid progress in
computational power, deep learning (DL) has emerged as a highly promising approach for …

Pig face recognition has a wide range of applications in breeding farms, including precision
feeding and disease surveillance. This article proposes a method to guarantee its …

Polypropylene (PP) is one of the raw materials to produce automotive interior parts. Under
the high-temperature condition, the volatile gas of PP will have a pungent odor. Therefore …

In the aircraft manufacturing industry, rivet inspection is a vital task for the aircraft structure
stability and aerodynamic performance. In this article, we propose a novel framework for fully …

Point cloud classification has emerged as a vital research area in several emerging
applications, including robotics and autonomous driving. However, discriminative feature …

As a critical component of power battery, the quality of nickel-plated punched steel strip
(NPSS) is closely related to the performance of battery. In practice, however, the real-time …

Point cloud is widely available in the manufacturing system with the continuous
development of 3-D sensors. Accurate point cloud segmentation can automatically identify …