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Enhancing BVLOS Drone Operations in Non-Segregated Airspace

The project aims to develop and deploy a solution for Beyond Visual Line of Sight (BVLoS) Unmanned Aircraft System (UAS) operations in non-segregated airspace. The solution will provide Remotely Piloted Aircraft System (RPAS) operators, and other equipped aircraft, with real-time, shared situational awareness of the airspace. This will enable the RPAS operator to strategically and/or tactically detect and avoid other aircraft during BVLoS operations. The work package will demonstrate that BVLoS operations in non-segregated airspace are safe, can meet regulatory approval, and integrate seamlessly with manned aviation while still providing safe and efficient access to the airspace for all users.

Feedback Overview:

The idea of enhancing BVLOS drone operations in non-segregated airspace is innovative and addresses significant challenges in the current aviation landscape. To successfully reach product-market fit, it is crucial to focus on robust testing and validation of the detect and avoid technology. Additionally, collaboration with regulatory bodies and manned aviation stakeholders will be essential to ensure seamless integration and regulatory approval. Enhancing the user interface for real-time situational awareness could further increase the business value of the idea.

Market Competitors:

Market Competitor

Market Competitor

Market Competitor

Market Competitor

Market Competitor

Market Competitor

CTO

Expert in developing and integrating advanced drone technologies, including detect and avoid systems and UTM solutions.

How feasible is it to develop real-time shared situational awareness for BVLoS operations?

Developing real-time shared situational awareness is feasible with current technology, but it requires robust data integration and real-time processing capabilities. Leveraging advancements in AI and machine learning can enhance the system's accuracy and responsiveness.

What are the main technical challenges in integrating detect and avoid systems with existing UAS?

The main technical challenges include ensuring the reliability and accuracy of the detect and avoid systems, integrating them seamlessly with existing UAS hardware and software, and ensuring they can operate effectively in various environmental conditions.

How can we ensure the scalability of this solution for widespread adoption?

Ensuring scalability involves developing a modular and flexible system architecture, establishing industry standards, and creating strong partnerships with regulatory bodies and aviation stakeholders to facilitate widespread adoption.

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