Far Eastone Telecommunications has patented a system and method for drone docking on a moving platform on a vehicle. The technology involves obtaining environmental data, generating flight parameters, and adjusting drone flight for docking. The system is designed to enhance drone operations in dynamic environments. GlobalData’s report on Far Eastone Telecommunications gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Far Eastone Telecommunications, Vehicle CAN security was a key innovation area identified from patents. Far Eastone Telecommunications's grant share as of April 2024 was 84%. Grant share is based on the ratio of number of grants to total number of patents.
Drone docking system for vehicles based on environmental data
A recently granted patent (Publication Number: US11906982B2) discloses a system for drone docking that is adaptable for a vehicle. The system includes a drone and a moving platform that is in communication with the drone and coupled to an output device in the vehicle. The moving platform gathers current environmental data and historical environmental data related to its operation, such as location information, moving speed, communication status, wind speed, and weather. Based on this data, the moving platform generates a recommended flight parameter and transmits it to the drone. The drone then adjusts its flight parameter accordingly to dock on the moving platform. Additionally, the system includes features like instructing the drone not to dock within a certain period when passing through a curve and providing a route to approach the drone when its power is lower than a threshold.
Furthermore, the system allows for adjustments in flight parameters based on sensing data from the drone, such as flight speed, heading, attitude, power, stability, wind speed, and relative distance from the moving platform. The moving platform can also transmit recommended flight parameters to the drone in response to factors like high moving speed, poor communication quality, high wind speed, or poor road conditions. The system includes multiple docking areas on the moving platform, with the recommended flight parameter guiding the drone to dock in a specific area. Moreover, the moving platform can upload current environmental data and docking results to a cloud server to update historical environmental data, ensuring the system's efficiency and accuracy in drone docking operations.
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