Automatic target recognition (ATR) for military applications is one of the core processes
toward enhancing intelligence and autonomously operating military platforms. Spurred by …

Not only were traditional artificial neural networks and machine learning difficult to meet the
processing needs of massive images in feature extraction and model training but also they …

In this article, a multilayered and distributed architecture for mission-oriented miniature fixed-
wing UAV swarms is presented. Based on the concept of modularity, the proposed …

Environment perception by computing the depth is a key task for unmanned aerial vehicle
(UAV) type systems. Due to the limited load they can carry, most drones are equipped with a …

Scatterer trajectory association is a critical step of 3-D target reconstruction from the inverse
synthetic aperture radar (ISAR) image sequence. To cope with the complex scatterer …

In recent years, unmanned aerial vehicles (UAVs) have gained significant popularity and are
used for many applications, from entertainment to surveillance and the modern battlefield …

Most existing methods are difficult to detect low‐altitude and fast‐moving drones. A low‐
altitude unmanned aerial vehicle (UAV) target detection method based on an improved …

Monocular depth estimation (MDE) is one of the most difficult tasks in computer vision. The
problem becomes even more complicated in case of aerial images due to the high …

Current light detection and ranging (LIDAR) based odometry solutions that are used for
spacecraft relative navigation suffer from quite a few deficiencies. These include an off‐line …

Deep learning-based solutions for the ill-posed problem of Monocular Depth Estimation
(MDE) from 2D color images have shown potential in recent years, spurring a very active …