SenseUAV by Gradiant is a low size, weight and power airspace surveillance system for UAVs, that exploits the latest machine learning technology for detecting aircraft and other obstacles during flight using cameras onboard.

UAVs promise a future of opportunities around missions that require integration with conventional aviation, and in operations beyond the line of sight (Beyond Visual Line of Sight, BVLOS).

 

Aviation safety agencies worldwide point at the need to incorporate onboard detect & avoid systems for obstacle detection and collision avoidance in these BVLOS and non-segregated missions.

SenseUAV by Gradiant can be integrated with the aircraft’s flight control system in order to offer advanced automatic DAA functionalities, and may also be used to assist the pilot during flight. Our detect & avoid system can incorporate third party sensors for extended collaborative and non-collaborative support in BVLOS missions.

 

AI-based detect & avoid technology

Existing detect & avoid solutions have been conceived for large aircraft, and are therefore not adequate for smaller unmanned vehicles in terms of size, weight, power and cost.

No single detection technology can provide reliable detect & avoid collaborative and non-collaborative scenarios on its own. Human understandable visual awareness about the surroundings of aircraft is crucial for operators, even in fully autonomous missions.

SenseUAV by Gradiant adds an extra layer of safety to UAV operations by incorporating automatic obstacle and traffic detection.

  • Detection and tracking of all traffic and obstacles around the aircraft in a 1km radius
  • Compact footprint at under 500g including camera and processing module, for easy deployment on small, medium and large aircraft
  • Automatic low bitrate visual reporting of obstacles and traffic, for real time operator assistance
  • Open interfaces for integration with commercial flight control systems, and third party collaborative detection systems

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