Derplearning: Self Driving RC Car Code
Derp Learning
Derp Learning is a Python package that collects data, trains models, and then controls an RC car for track racing.
Hardware
You will need access to a drill and a soldering kit.
Vehicles
The following vehicles have been tested and are supported:
SparkFun Jetbot
If you prefer something smaller, slower, with zero turn radius powered by individual-wheel drive motors the Sparkfun JetBot Kit $275 includes all parts, except for the optional IMU and Dualshock 4 controller. Please follow the setup guide at the site.
Traxxas-based Vehicles
Each of the following vehicles has been tested and works with the platform. 3D printed parts are TBD.
LaTrax Rally (1/18 scale brushed) $120
Traxxas Slash (1/10 scale brushed) $240
Traxxas E-Revo (1/16 scale brushless) $250
Jetson Nano $100
Pololu Micro Maestro 6-Channel USB Servo Controller $19
Dual Lock Reclosable Fastener $19
USB Battery $16
USB to Barrel Cable $7
USB Jumper $5
Brass Spacers/Offsets M2+M3 Offsets $17
Nylon Washers M2+M3 $8
Breadboard Jumper Wires $7
Wifi Card $20
Wifi Antenna $3
Camera $30
64GB MicroSD Card $12
Adafruit BNO055 9-DOF Absolute Orientation IMU $35
Playstation Dualshock 4 Controller $45
Software
This software has been tested on Ubuntu 18.04 using Python 3.6 on both x86_64 and aarch64 architectures.
bash install.sh
Collect Data
bin/drive.py config/rally.yamlLabel Data
bin/label.py data/recording-YYYYMMDD-HHMMSS-HOSTNAMEBuild a dataset and train cloning model
bin/clone.py config/brain-clone.yamlTest model
bin/drive.py config/rally.yamlDownload Details:
Author: notkarol
Source Code: https://github.com/notkarol/derplearning
License: MIT license
