Aerial Robotics: State-based Conflict Detection and Resolution (Detect and Avoid) in High Traffic Densities and Complexities

Purpose of Review A lot of research into decentralised, state-based conflict detection and resolution, or detect and avoid algorithms has been executed. This paper explains the essential properties of state-based conflict detection and reviews the work in the context of applications for not only manned but also unmanned aerial vehicles, where...

The Effect of Intent on Conflict Detection and Resolution at High Traffic Densities

The use of drones for applications such as package delivery, in an urban setting, would result in traffic densities that are orders of magnitude higher than any observed in manned aviation. Such densities not only make automated conflict detection and resolution a necessity, but it will also force a reevaluation of aspects such as centralised vs...

Challenges with obstacle data for manned and unmanned aviation

The objective of this paper is to raise awareness about the significance of collecting and ensuring the quality of the obstacle data required for the safety of air navigation for both manned and unmanned aviation. This information could be of importance to geodetic, CityGML, 3D model and Building Information Management (BIM) community. With the...

Drone Information Service Requirements for U-Space

The work presented in this paper is part of the SESAR Horizon 2020 exploratory research project DREAMS, which analyses operational and technical aspects of drone Aeronautical Information Management (AIM) for Europe’s Unmanned Traffic Management system, U-Space. The main objective of DREAMS is to analyse the present and future needs of...