---
# System prepended metadata

title: AutoCar

---

# AutoCar

## Modifications to Donkeycar

1. Handle RC remote
2. Improve preprocessing

### Solutions for obstacles

Obstacle Avoidance Path Planning Design for Autonomous Driving Vehicles Based on an Improved Artificial Potential Field Algorithm
https://flyyufelix.github.io/2018/09/11/donkey-rl-simulation.html
http://www-oldurls.inf.ethz.ch/personal/pomarc/pubs/HaeneIROS15.pdf
https://arxiv.org/pdf/1906.05113.pdf
https://www.youtube.com/watch?v=pBIA4Mb-GfQ
https://www.youtube.com/watch?v=aLFuHGlU0CM
http://docs.donkeycar.com/guide/robot_sbc/tensorrt_jetson_nano/

1. Train with a dataset containing obstacle
2. Image segmentation to identify road
3. Drive only on the right and learn to gost past obstacles
4. Train a separate NN which overtake the decision when there is an obstacle

Bonsoir Reda,
Nous sortons de réunion entre nous pour l'organisation de la suite. 
Pourrions nous nous voir demain pour débriefer et discuter des questions relatives au matériel ? En particulier, avons-nous une date d'arrivée précise pour les Alpines ? Nous avons aussi décidé d'un nom pour la voiture blanche, "Improvised". Nous avons de plus vu les résultats de la course de samedi et il s'avère malheureusement que nous sommes finalement derrière l'école 42.


**IMPROVISE**
Incredible Motor-Powered Rocket, Obviously Very Intelligent, Sexy and Extreme

**IMPROVISED**
Improvised Motor-Powered Rocket, Obviously Very Intelligent, Sexy, Extreme and Deadly

## Notes

- 42 derriere
- Insister sur Reda pour l'ETA de l'Alpine
- Voiture bleue backup: seulement toucher au preprocessing (rayons de soleil)
- Voiture blanche:
1. Pi Zero + Camera (3 days)
2. Remote car controller (5 days)

Reunion Vendredi

4. Donkeycar + SqueezeNet (3 days)
5. Dataset training without obstacles
6. Distance sensors + Handle obstacles
7. Dataset training with obstacles

A long termes:
1. Creation de notre propre framework
2. 3D camera, gyro sensor

Deadline 21 Mars

## Meeting 02/03/20

- Decide strategy for both vehicles (donkey or homemade framework, when do we create the dataset, 3d camera?, distance sensor?, native car rempte, gyro sensor, etc...)
- Plan and split tasks according to next race
- Organization: discord, git, start-up checklist, inventory
- Find a name both vehicles

## To-Do

### AutoCar 1

- What? When? Who?
- ...

### AutoCar 2

- What? When? Who?
- ...

## Issues to address

1. Handle obstacles on the track
2. Handle ray of lights on the track
3. Auto braking system (independent of AI)
4. Faster way to run algorithm and change its settngs during races (LED indicators, web app?) 
5. Have a better remote controller to create dataset. 

## Resources

- Meetup 21 March: https://www.meetup.com/fr-FR/DIY-Robocars-France/events/267022228/
- GitHub Renault: https://github.com/nitescuc/, https://github.com/roboracingleague
- Obstacles: https://inf.ethz.ch/personal/pomarc/pubs/HaeneIROS15.pdf
- Inventory checklist: See Google Keep