Abstract
Unmanned Aerial Vehicles (UAVs) are being extensively used nowadays. Therefore, pilots of traditional aerial platforms should adapt their skills to operate them from a Ground Control Station (GCS). Common GCSs provide information in separate screens: one presents the video stream while the other displays information about the mission plan and information coming from other sensors. To avoid the burden of fusing information displayed in the two screens, an Augmented Reality (AR) tool is proposed in this paper. The AR system has two functionalities for Medium-Altitude Long-Endurance (MALE) UAVs: route orientation and target identification. Route orientation allows the operator to identify the upcoming waypoints and the path that the UAV is going to follow. Target identification allows a fast target localization, even in the presence of occlusions. The AR tool is implemented following the North Atlantic Treaty Organization (NATO) standards so that it can be used in different GCSs. The experiments show how the AR tool improves significantly the situational awareness of the UAV operators.
Highlights
The use of Unmanned Aerial Vehicles (UAVs) has become increasingly popular in recent years, especially because the majority of them are equipped with at least an Electro-Optical (EO) sensor.the use of these platforms has been considered for applications that traditionally use aerial imagery, such as surveillance [1] and remote sensing [2]
The objective of the mission was the identification of several targets that were reported to the operator
The operator is in charge of identifying four targets, which correspond to four buildings
Summary
The use of Unmanned Aerial Vehicles (UAVs) has become increasingly popular in recent years, especially because the majority of them are equipped with at least an Electro-Optical (EO) sensor.the use of these platforms has been considered for applications that traditionally use aerial imagery, such as surveillance [1] and remote sensing [2]. The use of Unmanned Aerial Vehicles (UAVs) has become increasingly popular in recent years, especially because the majority of them are equipped with at least an Electro-Optical (EO) sensor. UAVs have enabled the use of aerial images to improve tasks in which they were not previously used, such as structure inspection [3]. The research work involving the use of UAVs is oriented to solve problems that are directly related to the type of used platforms. This is because the quality and accuracy of the sensors, as well as the mission specifications, are different for each one. There are studies for the autonomous navigation of micro aerial vehicles (MAV) [4], while others focus on target detection with platforms that can reach higher altitudes and can fly during longer periods of time [5]
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