Uncrewed Systems Technology 043 l Auve Tech Iseauto taxi l Charging focus l Advanced Navigation Hydrus l UGVs insight l MVVS 116 l Windracers ULTRA l CES 2022 show report l ECUs focus I Distant Imagery
Octopus ISR Systems Epsilon 180MG ISR Payload The most advance surveillance system 4 sensor – 4k EO, MWIR, LRF, LP Payload 180(D) X 215(H) MM 3.25kg Installation: Nose or belly mounted Watch video presentation: to scan QR code and see the video open your phone camera application and point it steadily for 2-3 seconds towards the QR code Onboard 7.265 compression / stabilization in 3 axis / real time target geo location / mgrs system support / on board target tracker / moving target indicator / onboard video recording 32GB / unicast and multicast video stream / picture in picture dual video / installation: nose or belly mounted General Atomics Aeronautical Systems (GA-ASI) has combined its Avenger UAS with five virtual models to test out swarms of UAVs (writes Nick Flaherty). Five hardware-in-the-loop synthetic Avengers and the physical craft were used to autonomously search and follow an artificially generated adversary. The physical Avenger flew over the desert of southern California, linked to the five models for a search mission. Once the simulated adversary entered the designated search area, the team of Avengers would decide, using a machine learning algorithm, which aircraft would autonomously break from the search loiter and perform complex behaviours to show closed-loop, air-to-air tactics. The live virtual swarm used a simulated infrared search & track (IRST) sensor network in addition to the CODE autonomy engine to accomplish the mission. “The flight demonstrated GA-ASI’s ability to deploy autonomy using a blend of simulated threats, real-world sensors and live aircraft,” said Michael Atwood, senior director of advanced programs at GA-ASI. “Our robust autonomy pipeline provided seamless digital environments, UAV digital twins and machine learning to validate unmanned aircraft.” The Avenger UAS integrated a ZPX-R ADS-B and Mode 5 Level 2 receiver provided by uAvionix for the trial. This allowed the UAV to track active aircraft within the local airspace. Software known as Advanced Framework for Simulation, Integration, and Modeling simulated two separate types of IRST sensors (situational and long-range). This allowed the multi- physics sensor network to downlink into the Common Operating Picture running on a government-standard human- machine interface. To complement the live-flying sensor suite, the Avenger also operated with the All-Source Track and Identity Fuser, a government-owned multi-physics fusion engine. Swarm tracks virtual foe Airborne vehicles The Avenger over the southern Californian desert as part of a simulated swarm
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