SunFounder PiCar-X Kit
1.2 About PiCar-X
The PiCar-X is an AI-controlled self-driving robot car for the Raspberry Pi platform, upon which the Raspberry Pi acts
as the control center. The PiCar-X’s 2-axis camera module, ultrasonic module, and line tracking modules can provide
the functions of color/face/traffic signs detection, automatic obstacle avoidance, automatic line tracking, etc.
With the SunFounder-designed Robot HAT board, the PiCar-X integrates left/right driving motors, servo motors for
steering and the camera’s pan/tilt functions, and pre-sets the Robot HAT’s ADC, PWM, and Digital I2C pins to allow for
extensions to the standard functionality of the Raspberry Pi. Both a speaker and a bluetooth chip have been engineered
into the Robot HAT for remote control of Text-to-Speech, sound effects, or even background music functionality.
All of the PiCar-X functions, including GPIO control, computer vision, and deep learning, are implemented through the
open sourced Python programming language, OpenCV’s Computer Vision Library software, and Google’s TensorFlow
for deep learning frameworks. Other software has been included to optimize the PiCar-X capabilities, allowing the user
a near-limitless learning environment.
1.3 Deep Learning and Neural Networks
To learn more about deep learning and Neural Networks, SunFounder recommends the following resources:
Machine Learning - Andrew Ng : This course provides a broad introduction to machine learning, datamining, and
statistical pattern recognition.
Neural Networks and Deep Learning : This E-book covers both Neural Networks, a biologically-inspired programming
paradigm that enables a computer to learn from observational data, and Deep learning, a powerful set of techniques for
machine learning in neural networks.
Rethinking the Inception Architecture for Computer Vision : This high-level white-paper explores the methods users
can scale up networks by utilizing added computations as efficiently as possible through factorized convolutions and
aggressive regularization.
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1.2. About PiCar-X 5
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