Sierra Nevada has patented a method for unmanned aerial vehicles to detect and avoid obstacles in their flight path. The system uses sensor data from ground-based platforms and radar surveillance to generate indicators for UAVs. This technology enhances safety and efficiency in UAV operations. GlobalData’s report on Sierra Nevada 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 Sierra Nevada, IoT network security was a key innovation area identified from patents. Sierra Nevada's grant share as of May 2024 was 33%. Grant share is based on the ratio of number of grants to total number of patents.
Collision avoidance system for unmanned aerial vehicles
A recently granted patent (Publication Number: US11994880B2) outlines a method for managing the flight paths of unmanned aerial vehicles (UAVs) to ensure safe and efficient operations. The method involves establishing communication between multiple UAVs, a control system, a mobile ground-based platform, and a ground-based radar surveillance system. By providing transit corridors based on coverage areas from radar systems and UAVs, the method allows for seamless transitions between different areas during flight. The control system detects potential obstacles in the flight path and generates indicators to alert the UAVs, enabling them to maneuver and avoid collisions effectively.
Furthermore, the patent details the transmission of maneuver commands between UAVs based on the indicators received from the control system. This communication system ensures that UAVs can navigate around obstacles in real-time, enhancing overall safety during flight operations. The method also involves utilizing sensor data from ground-based platforms and radar systems to detect objects in the flight path and generate necessary alerts for the UAVs. By incorporating overlapping transit corridors and efficient communication protocols, the patented method aims to streamline UAV operations and enhance safety measures in complex airspace environments.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
