Axionaut
The Axionaut is the winner of the second IronCar France robocar competition. The following repository contains all the tricks we used to win. The final Keras model achieves more than 98% of accuracy on the validation set. The provided autopilot model will work seamlessly with Vincent's IronCar framework.
Introduction
The Axionaut is based on a 4x4 Radio Controlled (RC) monster truck chassis, the complete bill of materials is available here: https://www.axionable.com/axionaut-termine-1er-de-la-deuxieme-course-iron-car/
The following code and documentation will guide you through the best practices and tricks to train the car. All strategies were defined both searching on the Internet and by experimentation. So, are you ready to win your next race?
Organizations using or interested in using the resource:
Contributor(s):
Tags: autonomous car, DIY, Robocar, TwizyContest
Categories: Logiciel, Connaissance, Matériel, Communauté
Theme: Open HardWare, Voiture Connectée, Données ouvertes, Ecoles et Etudiants
Referent: Abde Essaidi
Challenge: Abaisser les barrières pour innover sur le véhicule
Key people to solicit:
Other related common: AWS DeepRacer, Plateforme véhicule Twizy robotisé, Open Source Robotics Foundation, RollE affordable modular autonomous vehicle development platform, NVIDIA Jet Racer
Wealth sought:
Required skills:
Community of interest: Communauté de l'Open Hardware, Communauté du véhicule Open Source, Communauté Voiture Connectée, Twizy Contest
License: GNU Affero General Public License
Terms of Service (TOS):
Level of development:
Link to my actions board:
Link to my cloud, wiki, drive…:
Needs: ...
- L'offre de Partenariat Axionaut 5G
Next step: ...
Documentation of the experimentations: ...
Other informations
List of the actors using or willing of using this common: aucun pour le moment
List of the workshop reports related to this common:
Français
English
Italiano
