ROS land and air vehicle auto piloting -- 9

I am taking an auto-piloting course for the past 6 months and I am falling behind as I chose to attend classes remotely.

The project will cover most of the class syllabus in some ways, and 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

Kemahiran: Python, Pengaturcaraan C++, Robotik, Pembangunan Pangkalan Data, Git

Lihat lagi: select vehicle auto parts website software, micro air vehicle technology, vehicle auto logo template, air land water vehicle, car vehicle auto, deep learning autonomous vehicle, deep learning based communication over the air, lynda nuke 9 essential training updated 10 4 2016, how to generate music intro to deep learning 9, vehicle detection using deep learning, california clean air vehicle sticker placement, application for clean air vehicle decals, clean air vehicle sticker placement, vehicle classification using deep learning, vehicle detection using deep learning github, 9/8 4/3 2 1/8 3 1/3 7/3 42/8 3 1/3 7 1/4 13/3 7/2 5 1/3, android auto 3.9 apk, f250 air bags auto leveling, indian unmanned strike air vehicle, truck air tank auto drain valve

ID Projek: #29052026