SLAM, sensor fusion project for drones -- 3

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


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.

Compétences : Django, CUDA, Programmation C++, Git, OpenCV

en voir plus : the high low project season 3 episode 11, the high low project season 3, episode 13, how long will the robot try to find an uielement (if it is not available) on the desktop, the mat project volume 3, the rachel zoe project season 3, the buddy project season 3, the mindy project season 3 episode 3, the mindy project season 3 episode 1, the shawl project book 3, 106.3 the project, the queens project season 3, the queens project season 3 episode 8, the truth project lesson 3 video, the phoenix project part 3, the rosie project book 3, the truth project lesson 3, ep 3 the dance project, the zeta project episode 3, the amelia project season 3, 106.3 the project playlist

Concernant l'employeur :
( 10 commentaires ) Goyang Ilsan-gu Gyeonggi-do, Korea, Republic of

Nº du projet : #28938879