Navigating drones through natural language commands remains challenging due to the
dearth of accessible multi-modal datasets and the stringent precision requirements for …

In the past few years, the use of Unmanned Aerial Vehicles (UAVs) has expanded and now
reached mainstream levels for applications such as infrastructure inspection, agriculture …

In the domain of cross-view geo-localization, the challenge lies in accurately matching
images captured from distinct perspectives, such as aerial drone imagery and satellite …

Visual place recognition is a challenging problem in robotics and autonomous systems
because the scene undergoes appearance and viewpoint changes in a changing world …

Visual geo-localization plays a crucial role in positioning and navigation for unmanned
aerial vehicles, whose goal is to match the same geographic target from different views. This …

Current monocular 3D object detection algorithms generally suffer from inaccurate depth
estimation, which leads to reduction of detection accuracy. The depth error from image-to …

Unmanned aerial vehicles (UAVs) are promising remote sensors capable of reforming
remote sensing applications. However, for artificial-intelligence-guided tasks, such as land …

The key to crossview geolocalization is to match images of the same target from different
viewpoints, eg, images from drones and satellites. It is a challenging problem due to the …

Pedestrian attribute recognition (PAR) has received increasing attention because of its wide
application in video surveillance and pedestrian analysis. Extracting robust feature …

Cross-view image matching aims to match images of the same target scene acquired from
different platforms. With the rapid development of drone technology, cross-view matching by …