With their unique point‐contact ability with the ground and exceptional adaptability to
complex terrains, quadruped robots have become a focal point in the fields of automation …

Advancement in vision‐based techniques has enabled the autonomous vehicle system
(AVS) to understand the driving scene in depth. The capability of autonomous vehicle …

Semantic segmentation is an indispensable part of the Intelligent Vehicle-Infrastructure
System (IVIS) perception task. It has made considerable progress with the development of …

Due to the neglect of prior characteristics and the lack of explicit constraints on fault
knowledge, conventional intelligent diagnosis methods suffer from great hardships in …

With the excellent capacity of feature representation and nonlinear mapping, deep learning
with stacking deeply has aroused goer research interest in the field of intelligent fault …

Artificial Intelligence has been widely applied in intelligent transportation systems. In this
work, Swin-APT, a deep learning-based approach for semantic segmentation and object …

Road scene perception of driving environment is an important yet stimulating task for an
intelligent vehicle system (IVS). Advancement of deep learning techniques has enabled the …

Road semantic segmentation is unique and difficult. Road extraction from remote sensing
imagery often produce fragmented road segments leading to road network disconnection …

Real-time intelligent video-based traffic surveillance applications play an important role in
intelligent transportation systems. To reduce false alarms as well as to increase …

The deep learning advancements have greatly improved the performance of speech
recognition systems, and most recent systems are based on the Recurrent Neural Network …