
Reducing Pilot Error in UAV Insurance
Executive Summary
Pilot error has emerged as a leading cause of UAV insurance claims at Moonrock. Despite advancements in automation and training, human error continues to drive significant losses. This white paper explores the scale and nature of pilot error-related claims, presents real-world case studies, and offers actionable recommendations to reduce these incidents and improve operational safety.
1. Introduction
Moonrock Insurance has positioned itself as a leader in the UK and international UAV insurance sector. As the industry matures, the complexity of operations increases, and so does the exposure to human error. This paper addresses the growing trend of pilot error claims and outlines a strategic response to mitigate this risk.
2. Claims Analysis: The Rise of Pilot Error
According to the Moonrock internal assessments, pilot/operator error is a recurring theme in claims, often prompting corrective action only after a loss has occurred. While the overall loss ratio remains healthy, pilot error is a persistent and preventable cause of loss.
Key Observations:
- Pilot error accounts for over 85% of all losses and is the most cited cause in claims.
- Errors often involve misjudgement of ground hazards, failure to respond to system warnings, or incorrect recovery actions.
- Even experienced operators are vulnerable under pressure or in complex environments.
3. Case Studies: Losses Attributed to Pilot Error

Case 1: Powerline Collision
A pilot operating their UAV failed to reconfigure the flight path after restarting the system. The drone flew under powerlines and was struck by an electrical arc, and subsequently crashed.
Case 2:Terrain Misjudgement
Despite using terrain-following technology, the pilot failed to account for an upward slope. This may have resulted from inconsistent calibration of base data inputs or inaccuracies in the Z factor during flight. The drone collided with a telegraph line and crashed.
Case 3: Incorrect Recovery During GPS Failure
During a BVLOS demonstration, a GPS failure triggered an automatic descent. The pilot failed to switch to manual hover mode, resulting in the UAV landing in the sea.
4. Recommendations to Reduce Pilot Error
A. Training and Certification
- Mandate recurrent training focused on emergency procedures and human factors.
- Introduce simulator-based training for complex scenarios (e.g., GPS loss, QFE and QNH settings for terrain following.
B. Operational Risk Management
- Require pre-flight risk assessments and dynamic checklists.
- Encourage dual-operator setups for high-risk missions.
C. Technology Integration
- Promote drones with AI-assisted obstacle avoidance and accurate terrain mapping. While AI does not need to identify obstacles, it can help maintain a consistent and safe distance from linear assets.
- Use telemetry and diagnostics to alert pilots of anomalies in real time.
D. Policy and Incentives
- Offer favourable premiums to operators with clean safety records and advanced training.
- Introduce endorsements for proactive risk mitigation (e.g., telematics-based monitoring).
E. Advocacy for Full Automation
Moonrock advocates for regulators to aim for faster adoption of, and a more proactive stance on, enabling full automation in drone operations. Human error remains the leading cause of UAV crashes, as evidenced by multiple claims involving misjudgment, incorrect recovery actions, and failure to respond to system warnings.
This trend mirrors the automotive industry, where statistics consistently show that over 90% of car crashes are caused by driver error. The parallel is clear: whether in the air or on the road, human decision-making under stress or fatigue introduces significant risk.
By embracing full automation, both industries can reduce accident rates, improve safety outcomes, and enhance public trust. Moonrock supports initiatives that promote autonomous flight systems, regulatory frameworks for automated operations, and integration of AI to eliminate preventable human mistakes.
5. New Proposal: Dual-Pilot Protocol for Extended or Complex Flights

To address fatigue, cognitive overload, and decision-making degradation during long or complex missions, Moonrock proposes a dual-pilot protocol:
- Trigger Criteria: Any flight exceeding 35 minutes or involving complex airspace, BVLOS operations, or congested environments.
- Structure: One pilot manages the outbound leg, and then, following a well-rehearsed handover briefing, the second pilot takes over for the return leg. Controller swap/handover introduces its own human factor risks, so a structured briefing covering all relevant settings is essential.
- Benefits: Reduces pilot fatigue and improves focus. Enables real-time peer monitoring and error detection. Aligns with aviation best practices for long-haul operations.
6. Conclusion
Pilot error is a solvable problem. By combining data-driven underwriting, advanced training, and smarter technology, Moonrock can lead the industry in reducing preventable losses. This not only protects the bottom line but also enhances client trust and regulatory compliance.
About
Moonrock Insurance is a global leader in specialist drone and eVTOL insurance. Founded in 2016, Moonrock sets the benchmark for quality, innovation, and expertise – covering everything from hobby drones to complex commercial UAV operations worldwide. With data-driven underwriting and a deep understanding of the sector, Moonrock delivers tailored solutions for individuals, businesses, and governments. Its commitment to customer experience, industry leadership, and market innovation makes Moonrock the trusted choice for anyone seeking reliable, forward-thinking drone insurance.
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