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SLAM, sensor fusion project for drones -- 3

The project will cover the topics as described in the attached files.

requirements:

1. database for inputs from sensors, camera and code repositories and setup

2. openCV application

3. RNN CNN for deep learning

4. Ros for platooning and swarming maneuvers

5. Gazebo, QGround Control/Ardupilot APM for drone configuration and simulation

6. Nvidia auto driving and piloting based on jetson nano and agx Xavier

my budget: usd 150

terms: minimum 3 weeks

Overall task: Django Channel, geolocation, geo database, ArduPilot, Gazebo, Tableau, Pixhawk, etc. If there are areas you want to refresh, some right materisls or resources are available to you.

Tools of communication and collaboration: github (mainly), teamviwer/anydesk and remote ssh access.

OS: Windows 10, Ubuntu

Language: Python (mainly), C++, Django (framework), Jupyter Notebook, and ML/DL libraries.

Skills: Django, CUDA, C++ Programming, Git, OpenCV

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About the Employer:
( 10 reviews ) Goyang Ilsan-gu Gyeonggi-do, Korea, Republic of

Project ID: #28938879