Unmanned Aircraft Collision Avoidance
Description
The use case solves the problem of navigating complex environments autonomously while ensuring obstacle avoidance in real time. By relying on AI-based 3D scanning functions instead of GPS, the system enhances safety and precision in drone operations, reducing the risk of collisions and enabling efficient, reliable use in diverse mission scenarios. It addresses the challenge of maintaining situational awareness and operational accuracy during unmanned aircraft missions, providing pilots with visual alerts to prevent potential collisions.
Detailed example
The pilot of the sUAS will receive a visual alert on the hand controller, indicating a possible collision.
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The platform operates on video feed only which in turn activates the obstacle avoidance on the aircraft where the AI capabilities are housed. The system supports the streamlined intake process while maintaining the accuracy and reliability of identity verification.
Audit / financial statement impact
This use case avoids collisions for small unmanned aircraft systems. It operates a video feed that activates the obstacle avoidance features. The obstacle avoidance capability assists the pilot on the ground to avoid colliding the unmanned aircraft with objects such as man-made structures, vehicles, trees, wires, or other objects in the projected flight path. The pilot receives a visual alert on the hand controller, indicating a possible collision and in some cases the aircraft will slow down, change direction to avoid the obstacle, or stop.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Live flight testing data of the platform in test and operational environments.