UAV Visual Positioning System Development

Developer Required – Visual Positioning System (VPS) for UAVs

We are looking for an experienced Computer Vision / AI / Embedded Systems Developer to help us build a Visual Positioning System (VPS) for UAVs and drones.

The initial prototype will be developed using NVIDIA Jetson Nano + Camera, with the goal of creating a robust visual navigation system for challenging GPS/GNSS environments.

Required Skills

* Python / C++
* OpenCV
* Computer Vision
* NVIDIA Jetson Nano
* Optical Flow
* Visual-Inertial Odometry (VIO)
* SLAM
* IMU / Sensor Fusion
* ArduPilot / PX4
* MAVLink
* UAV / Drone Systems
* Linux / Embedded Systems

Project Scope

* Camera-based visual positioning
* Optical Flow implementation
* Camera + IMU fusion
* VIO development
* Real-time position and velocity estimation
* ArduPilot / PX4 integration
* MAVLink communication
* GPS-denied navigation
* Performance optimization on Jetson Nano
* Testing and documentation

We are looking for a developer who has hands-on experience, not just theoretical knowledge.

If you have worked on UAV navigation, VIO, SLAM, optical flow, or Jetson-based computer vision projects, please contact us.

Please share your portfolio/GitHub, previous projects, experience, availability, and expected budget.

Interested developers can DM us with their profile and relevant work samples.

Project: Visual Positioning System (VPS)
Platform: NVIDIA Jetson Nano
Industry: UAV/DRONE / Aerospace / Defence Technology