The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and
industrial sectors has attracted a wave of new researchers and substantial investments in …

The ability to interpret multimodal data, and map the targets and anomalies within, is
important for an automatic recognition system. Due to the expensive and time-consuming …

This work explores the crucial roles that control theory and digital twins play in enhancing
the performance of underactuated quadrotor unmanned aerial vehicles (QUAVs). It …

Object recognition, localization, and tracking play a role of primordial importance in
computer vision applications. However, it is still an extremely difficult task, particularly in …

Fixed-wing unmanned aerial vehicles (UAVs) and multi-rotor UAVs are widely utilized in
large-area (> 1 km2) environmental monitoring and small-area (< 1 km2) fine vegetation …

All‐round development strategy of quality education makes primary and secondary school
students not only pursue the improvement of achievement but also carry out physical …

The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and
industrial sectors has attracted a wave of new researchers and substantial investments in …

In urban settings, roadside infrastructure LiDAR is a ground-based remote sensing system
that collects 3D sparse point clouds for the traffic object detection of vehicles, pedestrians …

In an urban and uncontrolled environment, the presence of mixed traffic of autonomous
vehicles, classical vehicles, vulnerable road users, eg, pedestrians, and unprecedented …

Aerospace vehicle detection, localization, and subsequent parametric computations such as
range and altitude in frame-based data analysis acquired through vision sensors such as …