Over recent years, the Vehicle-Road-Cloud Integration System (VRCIS) and Intelligent and
Connected Vehicles (ICVs) have gained significant attention in the realm of autonomous …

Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and
adaptability to various environmental conditions, holds immense potential across multi …

Silent speech recognition (SSR) allows users to speak to the device without making a
sound, avoiding being overheard or disturbing others. Compared to the video-based …

Human sensing and understanding is a key requirement for many intelligent systems, such
as smart monitoring, human-computer interaction, and activity analysis, etc. In this paper, we …

Person re-identification (reID) is a crucial aspect of intelligent surveillance systems, enabling
the recognition of individuals across non-overlap** camera views. As compared to the …

In this paper, we aim to study millimeter-wave-based gait recognition in complex indoor
environments, focusing on dealing with multipath ghosts and supporting rapid deployment to …

Radio-Frequency (RF)-based Human Activity Recognition (HAR) rises as a promising
solution for applications unamenable to techniques requiring computer visions. However …

Autonomous driving requires vehicles to achieve fine detection of objects in the surrounding
environment, especially living pedestrians. Nevertheless, in real world road environments …

Human motion sensing plays a crucial role in smart systems for decision-making, user
interaction, and personalized services. Extensive research that has been conducted is …

Previous mmWave sensing solutions assumed good signal quality. Ensuring an unblocked
or strengthened LoS path is challenging. Therefore, finding an NLoS path is crucial to …