Abstract Object Re-identification (Re-ID) aims to identify specific objects across different
times and scenes, which is a widely researched task in computer vision. For a prolonged …

We present a convolutional neural network (CNN) that identifies drone models in real-life
videos. The neural network is trained on synthetic images and tested on a real-life dataset of …

Efficient detection and accurate collision estimation for non-cooperative aerial vehicles are
crucial for the realization of fully autonomous aircraft and Advanced Air Mobility (AAM). This …

Person re-identification (ReID) has gained significant interest due to growing public safety
concerns that require advanced surveillance and identification mechanisms. While most …

Existing studies on formation control for unmanned aerial vehicles (UAV) have not
considered encircling targets where an optimum coverage of the target is required at all …

Artificial intelligence (AI) has progressed explosively in recent years. Driven by the advent of
deep learning, AI is being used in a variety of applications, across multiple scientific fields, in …