MOOSE / Onboard perception platformMOOSEAerial vision. Person detection. ATAK.
Aerial person detection. Computer vision on a fixed-wing UAV, connected to ATAK.
ROS 2Jetson Orin NanoMAVLinkYOLOX-STensorRT
Inside the project Pre-flight validationAlec Waumans / Engineering portfolio
Where software
meets the
physical world.
I build embedded systems, robotics and applied AI — connecting perception, software and real-world hardware.
Featured UAV / 001
UAV / COMPUTER VISION / ATAKMOOSE
Pre-flight validationAerial person detection
01 / Embedded systems02 / Robotics & control03 / Perception & AI
01 / Selected work
Ideas, built
and put to the test.
Systems, experiments and research at the intersection of hardware and software.
All projects 12MOOSE / Onboard perception platform
Illustration02Understanding the scene. Anticipating the event.
A hybrid AI architecture for scene understanding and event prediction in aviation.
Explore the project
Illustration03Gesture to motion.
A robotic hand that mirrors human gestures through computer vision and servo control.
Explore the project
Illustration04AI with a paper trail.
A local multi-agent system that makes evidence, review and execution traces part of the workflow.
Explore the project02 / Research & publication
Understand
what happens.
Anticipate
what comes next.
Exploring how perception, reasoning and prediction can work together in aviation.
A Hybrid Architecture for Scene Understanding and Event Prediction in Aviation
Connecting perception, graph-based reasoning and model-based reinforcement learning to investigate critical-event prediction in an aircraft-landing simulation.
- Conference
- RoboticCC 2025
- Location
- Naples, Italy
- DOI
- 10.1109/RoboticCC68732.2025.00023
03 / The person behind the projects
Curiosity is
the starting point.
I’m Alec. I work where software meets sensors, machines and the physical world.
My background in applied computer science now continues with evening studies in electromechanics at EAFC. Connecting software knowledge with the systems it brings to life.
More about my background01
Design the system.
Start with the problem, the constraints and an architecture that makes sense.
02
Build across disciplines.
Bring code, electronics and mechanical systems together.
03
Test. Learn. Refine.
Document what works, understand the limits and use the evidence to improve.