In the realm of multimodal multi-object tracking (MOT) applications based on point clouds
and images, the current research predominantly focuses on enhancing tracking accuracy …

3D point cloud has been widely applied in multimedia field, such as virtual reality, smart city
and etc. However, during the process of 3D point cloud acquisition, storage and …

For understanding unordered sets of point clouds, the positional information of each point
must be effectively used. To this end, the existing models use the absolute position of the …

LiDAR plays a key role in autonomous vehicles, and to improve its visibility, it is necessary to
improve its performance and the detection objects. Accordingly, this study proposes a shape …

This article analyzes the cybersecurity challenges of connected autonomous vehicles,
emphasizing critical components such as sensors and communication technologies. The …

In this study, we use light detection and ranging (LiDAR) to track moving objects and
estimate their positions, velocities, and shapes. Both the position and shape of a target …

Real-time road traffic information is crucial for intelligent transportation systems (ITS)
applications, like traffic navigation or emergency response management, but acquiring such …

Geometric data are samples on geometric surfaces of physical or abstract objects. When the
underlying objects evolve over time, their geometric data change as well. Tracking their …

A transformative revolution in transportation is coming with the advent of Autonomous
Vehicles (AVs), which are expected to increase mobility, reduce traffic congestion, and save …

Environment perception and object recognition are the key to realize cooperative vehicle
infrastructure system. This paper proposes an object recognition method based on roadside …