This paper presents a comprehensive review of state-of-the-art navigation methods
available for unmanned aerial vehicles (UAVs) used in parcel delivery. Particularly, the …

The development of a navigation system is one of the major challenges in building a fully
autonomous platform. Full autonomy requires a dependable navigation capability not only in …

Automatic detection of flying drones is a key issue where its presence, especially if
unauthorized, can create risky situations or compromise security. Here, we design and …

Radar odometry has been gaining attention in the last decade. It stands as one of the best
solutions for robotic state estimation in unfavorable conditions; conditions where other …

The advent of consumer and industrial Unmanned Aerial Vehicles (UAVs), commonly
referred to as drones, has opened business opportunities in many fields, including logistics …

As radar sensors are being miniaturized, there is a growing interest for using them in indoor
sensing applications such as indoor drone obstacle avoidance. In those novel scenarios …

In this paper, we propose to fuse radar measurements with Visual Inertial Odometry (RVIO)
or Thermal Inertial Odometry (RTIO). FMCW radar sensor data enables to estimate the 3D …

UAVs are employed for military, commercial, environmental, and other objectives. Flying in
complex situations might strain the GPS (GNSS). Using INS alone increases positional …

The key to successful positioning of autonomous mobile robots in complicated indoor
environments lies in the strong anti-interference of the positioning system and accurate …

This paper explores a machine learning approach on data from a single-chip mmWave
radar for generating high resolution point clouds–a key sensing primitive for robotic …