The use of delivery services is an increasing trend worldwide, further enhanced by the
COVID pandemic. In this context, drone delivery systems are of great interest as they may …

This paper extends the topic of monocular pose estimation of an object using Aruco tags
imaged by RGB cameras. The accuracy of the Open CV Camera calibration and Aruco pose …

Missions requiring autonomous, close-proximity operations of spacecraft, such as On-Orbit
Servicing, On-Orbit Assembly and Active Debris Removal, have become a thriving topic in …

Camera pose estimation is a significant warranty during Unmanned Aerial Vehicle (UAV)
autonomous landing process. Fiducial marker system is a popular method to offer relatively …

This paper proposes an efficient relative localization and object detection network (AeroNet)
based on incremental learning for minimalistic high-speed cooperative navigation of aerial …

This paper presents a framework for performing autonomous precise landing of unmanned
aerial vehicles (UAVs) on dynamic targets. The main goal of this work is to design the …

An increasing number of professional drone flights require situational awareness of aerial
vehicles. Vehicles in a group of drones must be aware of their surroundings and the other …

Considering a multi-robot system composed of a ground vehicle and a multi-copter
connected each other with a tether, it is crucial for them to know their relative positions in …

In the last few years, squared fiducial markers have become a popular and efficient tool to
solve monocular localization and tracking problems at a very low cost. Nevertheless, marker …

Automated Ground Vehicles (AGVs) use deep-learning-based vision systems to perceive
the surrounding environment and extract relevant information about it. Although deep …