The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …

There are a large number of functional sensors installed on the modern intelligent vehicles.
Many Artificial Intelligence based foundation models have been proposed for smart sensing …

An automobile is a computer on wheels after the integration of electronics. This handshake
of electronics and mechanical systems makes a vehicle smart, and comfortable; driver …

This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …

This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …

Impressive performance on point cloud semantic segmentation has been achieved by fully-
supervised methods with large amounts of labelled data. As it is labour-intensive to acquire …

Urban sensing systems enable individuals, smart cities, and communities to bring together
and share information with unprecedented speed and accuracy. The rapid development of …

5G enabled maritime unmanned aerial vehicle (UAV) communication is one of the important
applications of 5G wireless network which requires minimum latency and higher reliability to …

Research into explainable artificial intelligence (XAI) methods has exploded over the past
five years. It is essential to synthesize and categorize this research and, for this purpose …

With the gradual growth of deep learning in machine vision, efficient extraction of 3D point
clouds becomes significant. The raw data of the 3D point cloud are sparse, disordered, and …