Project Details
[Return to Previous Page]UAV Object Detection and Avoidance using Machine Learning
Company: Boeing
Major(s):
Primary: EE
Secondary: CMPEN
Optional: CMPSC
Non-Disclosure Agreement: NO
Intellectual Property: NO
The aerospace environment is continuing to evolve with the introduction of unmanned aerial vehicles for package delivery and electric Vertical Takeoff and Landing air taxis to provide fast, efficient, and clean transportation within a local area. Boeing is also researching areas to implement autonomous solutions that further enhance the safety, predictability, and reliability of our products. This project will focus on a technology demonstration for a UAV that uses a camera-based object detection system to detect and avoid air-born obstacles. Deliverables: 1) Research report on existing industry and regulatory guidance for use of AI/ML in aerospace applications. 2) Report on existing ML object detection algorithms and the selection criteria for the final solution. 3) Report on HW requirements, controller and camera, developed to support the selected algorithm. 4) Size, weight, and power assessment of possible off-the-shelf components (controller, camera, drones) and final selection criteria 5) Working prototype, including CAD models for any custom hardware to integrate the controller and sensor(s). 6) Video of flight demonstration 7) Final report