The use of unmanned aerial vehicles (UAVs) has been rapidly increasing in both
professional and recreational settings, leading to concerns about the safety and security of …

Recent advances in robotics and computer vision fields yield emerging new applications for
camera equipped drones. One such application is aerial-based object detection. However …

Today, the rapid development of deep learning offers an extraordinary opportunity to
enhance the performance and efficiency of various industries, including business, the …

This paper presents deep learning-based YOLO (You only look once), for the detection of an
unmanned aerial vehicle (UAV). In common practice, the creation of own data set is an …

Aerial object detection is a key to many functionalities like security systems, pedestrian
counting, animal population estimation, security surveillance and many more. Previously …

Drones have many applications in our daily lives and can be employed for agricultural,
military, commercial, disaster relief, research and development, and many other purposes …

The unmanned aerial vehicles (UAVs) significantly contribute to the convenience and
intelligence of life. However, the large use of UAVs also leads to high security risk. Only …

Owing to the rising threat of employing drones in unlawful acts, detection of drones has
recently gained tremendous importance in the field of security and surveillance. Artificial …

Drones/unmanned aerial vehicles (UAVs) have recently grown in popularity due to their
inexpensive cost and widespread commercial use. The increased use of drones raises the …

Drones are widely used for wildlife monitoring. Deep learning algorithms are key to the
success of monitoring wildlife with drones, although they face the problem of detecting small …