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  • Research on detect and avoid, and flight operation system for high density operation using AI and optimized edge/cloud computers

Research on detect and avoid, and flight operation system for high density operation using AI and optimized edge/cloud computers

Project details

Participation

Advanced Robotics Foundation
(Subconsigned to: Chiba University and the National Institute of Informatics (Inter-University Research Institute)

Contract Type

Entrustment

Project details

Stage-1: Development of redundant autopilot(1)

  • AI-based fault diagnostics(2), emergency landing point identification and navigation(3), climate response(4)
  • Separation control of multiple drones(5), One Fail Operative flight(6)

Stage-2: Development of intelligent autopilot(7)

  • AI-based obstacle recognition and avoidance rerouting(8)
  • detect and avoid flight control with obstacles(9)
  • International standardization activities (ideal approach to detect and avoid)(10)

Stage-3: Development of integrated autopilot(11)

  • Dynamic map-compatible optimal route search(12), flight control(13)

Stage-4: Development of scalable autopilot(15)

  • Edge/cloud collaborative AI(16), flight control(17), flight operation system(18)
  • International standardization activities (airspace zoning etc.)(19)

Mid-term goals (FY2024)

  • Achieve contents of Stages 1 and 2 (emergency landing point search, fault detection, obstacle recognition, detect and avoid control, One Fail Operative, etc.)
  • Enable AI-implemented intelligent autopilot with Detect and Avoid (DAA)

Final goals (FY2026)

  • Achieve contents of Stages 3 and 4 (search, plot, and autonomous flight control of flight routes compatible with dynamic maps)
  • Advancement of intelligent autopilot, and implementation of flight operation system in response to airspace zoning by collaborate edge/cloud computing

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