Abstract: The present disclosure aims to implement UAV (unmanned aerial vehicle) logistics operation and air traffic control in flyable airspace technically through a UAV task planning system, which depends on blockchain technology to carry out UAV air traffic surveillance on flight segments in a predetermined barrier-free airway and optimize air traffic according to a safe separation distance for fewest UAV operators, air traffic controllers, communications links and airborne loads.

Abstract: A UAV (unmanned aerial vehicle) logistic operational mission planning and management system present hereof for safety of all flight space users inside flyable airspace and the ground crew in an irresistible trend of commercial operations of UAVs to be implemented is to construct a terrain model for a flyable airspace as a platform on which a system for integrating operational mission planning and air traffic control/management is created. A UAV logistic operational mission planning and management system is an expandable, flexible and adaptable system responding changeable requirements, quantities, technologies, business models and applications and preserving a manned air traffic control interface for operations and managements of multiple UAVs in flyable airspace monitored by a UAV air traffic control center safely and reliably.

Abstract: The present disclosure aims to implement UAV (unmanned aerial vehicle) logistics operation and air traffic control in flyable airspace technically through a UAV task planning system, which depends on blockchain technology to carry out UAV air traffic surveillance on flight segments in a predetermined barrier-free airway and optimize air traffic according to a safe separation distance for fewest UAV operators, air traffic controllers, communications links and airborne loads.

Abstract: A number of navigation functions are performed on terrain navigation space. One function is to define a dynamic dangerous zone based on flight altitude by locating and aggregating a set of nodes of terrain height over a minimum flight altitude. Algorithms such as collision check, mountainous area boundary and region growing techniques are developed as basic operations for this terrain model. In addition, a visibility graph approach for dynamic route selection may be adapted to reduce the real-time computational requirements. This approach reduces the size of the search space by establishing a partial visibility graph of terrain and avoids details of the terrain, which do not influence the choice of flight path, independent of the size of the navigation space. By exploiting the multiple and variable resolution properties of Oct-tree terrain models, a series of CFIT warning functions using terrain data as reference are implemented efficiently with existing on-board terrain data resources.

Abstract: A number of navigation functions are performed on terrain navigation space. One function is to define a dynamic dangerous zone based on flight altitude by locating and aggregating, a set of nodes of terrain height over a minimum flight altitude. Algorithms such as collision check, mountainous area boundary and region growing technique are developed as basic operations for this terrain model. In addition a visibility graph approach for dynamic route selection may adapted to reduce the real-time computational requirements. This approach reduces the size of the search space by establishing a partial visibility graph of terrain and avoids details of the terrain, which do not influence the choice of flight path, independent of the size of the navigation space. By exploiting the multiple and variable resolution properties of Oct-tree terrain models, a series of CFIT warning functions using terrain data as reference are implemented efficiently with existing-on-board terrain data resources.

Abstract: A number of navigation functions are performed on terrain navigation space. A preferred embodiment of dynamic dangerous zone defined by flight altitude is demonstrated. In a preferred embodiment, a set of nodes of terrain height over a minimum flight altitude are located and aggregated. Algorithms such as collision check, mountainous area boundary and region growing technique are developed as basic operations for this terrain model. Yet another preferred embodiment with visibility graph approach for dynamic route selection has been adapted to reduce the real-time computational requirements. This approach reduces the size of the search space by establishing a partial visibility graph of terrain and avoids details of the terrain, which do not influence the choice of flight path, independent of the size of the navigation space.