Autonomous driving perception has made significant strides in recent years, but accurately
sensing the environment using a single sensor remains a daunting task. This review offers a …

Significant growth in the development and deployment of artificial intelligence (AI) is being
witnessed. Driven by the great versatility of emerging computer science and material …

Driving intention and speed prediction are essential factors in the energy management of
plug-in hybrid electric vehicles (PHEVs). This paper proposes an improved energy …

Understanding the location of ultra-wideband (UWB) tag-attached objects and people in the
real world is vital to enabling a smooth cyber-physical transition. However, most UWB …

Ground segmentation is a crucial task in the field of 3D LiDAR perception for autonomous
driving. It is commonly used as a preprocessing step for tasks such as object detection and …

Two-dimensional object detection techniques can detect multiscale objects in images.
However, they lack depth information. Three-dimensional object detection provides the …

Accurate understanding of scenes through vision can play a critical role in construction
automation technologies, particularly in navigating the challenges of occlusions and object …

Human posture estimation plays a significant role in the growth of intelligent nursing robot, a
field that demands high accuracy and respect for privacy. Nevertheless, traditional …

People Identification is a critical aspect in developing modern vehicles, aimed at enhancing
safety and comfort levels. Most traditional methods of people identification in vehicles use …

Camera-based object tracking systems in a given closed environment lack privacy and
confidentiality. In this study, light detection and ranging (LiDAR) was applied to track objects …