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About Pathfinding for Airspace with Autonomous Vehicles
- NASA's Pathfinding for Airspace with Autonomous Vehicles (PAAV) project aims to integrate remote air cargo and air taxi aircraft into national airspace, promising improvements in transport accessibility and efficiency.
- Expected growth in the US air cargo fleet necessitates solutions for pilot shortages, which could be mitigated by managing multiple aircraft remotely with new automation systems.
- Technical challenges for integrating autonomous technologies for remote air cargo deliveries and air taxi operations include airspace integration, hazard avoidance, and reliable communication.
- Remote pilots, operating from ground stations, require automation tools and robust communication links for safe control of aircraft in case of command-and-control failures.
- Detect and avoid systems, aided by sensors and algorithms, are crucial for remotely piloted aircraft to maintain safe distances from other air traffic and ground-based hazards.
- NASA is collaborating with industry partners to develop automated capabilities for taxi, takeoff, and landing to ensure safe operations of remotely piloted aircraft at busy airports.
- Interfacing with air traffic control and implementing hazard detection automation are steps towards enabling efficient and safe integration of remotely piloted operations in national airspace.
- Through research, testing, and industry partnerships, NASA aims to establish technical standards and certification requirements for the widespread adoption of remote piloting in air transportation.
- PAAV, a subproject under NASA's Air Traffic Management Exploration initiative, seeks to revolutionize air cargo deliveries and air travel by enhancing safety, affordability, and scalability.
- Ultimately, NASA envisions a future where remote pilots can manage multiple large aircraft, facilitating efficient transportation of passengers and goods while expanding access to underserved communities.
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