For autonomous driving vehicles, highly accurate representations of the environment are
essential for both trajectory planning and self-localization. Different possibilities allow to …

This article takes on the challenges of synthetic aperture radar (SAR) imaging for
miniaturized SAR (MiniSAR) onboard a multirotor unmanned aerial vehicle (UAV). Several …

In the field of autonomous driving, highly accurate representations of the environment are
essential for trajectory planning as well as for estimating the vehicle's location. Today, this …

In order to improve the accuracy of pulse laser ranging based on time-of-flight (TOF), this
paper proposes a laser ranging method based on double threshold echo pulse prediction …

To address the challenges of sparse point clouds in current MIMO millimeter-wave radar
environmental mapping, this paper proposes a dense 3D millimeter-wave radar point cloud …

Air-ground collaborative robots have shown great potential in the field of fire and rescue,
which can quickly respond to rescue needs and improve the efficiency of task execution …

Autonomous driving technology has made remarkable progress in recent years,
revolutionizing transportation systems and paving the way for safer and more efficient …

Unmanned aerial vehicles (UAVs) are increasingly utilized in smart city applications, such
as artificial intelligence of things (AIoT) systems due to their agility, low cost, and …

In this paper, we present examples of DInSAR-based measurement of surface
displacements using a novel compact L-band SAR system that can be mounted on mobile …

This work seeks to provide a clear and updated perspective on strategic drone technologies
advancements currently available for power and energy industry experts. Addressed …