Book Image

Getting Started with Python for the Internet of Things

By : Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish
Book Image

Getting Started with Python for the Internet of Things

By: Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish

Overview of this book

This Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python. It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment. By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python. • Raspberry Pi 3 Cookbook for Python Programmers - Third Edition by Tim Cox, Dr. Steven Lawrence Fernandes • Python Programming with Raspberry Pi by Sai Yamanoor, Srihari Yamanoor • Python Robotics Projects by Prof. Diwakar Vaish
Table of Contents (37 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Chapter 22. Sensor Interface for Obstacle Avoidance

To make a robotic vehicle that drives itself, we need to first understand how humans drive a vehicle. When we drive a car, we constantly analyze the space and the distance to other objects. Thereafter, we make a decision if we can go through it or not. This happens constantly with our brain – eye coordination. Similarly, a robot would have to do the same sort of thing. 

In our previous chapters, you learned that we can find the proximity of objects around us, using sensors. These sensors can tell us how far an object is, and based on it, we can make decisions. We have done using an ultrasonic sensor primarily because it is extremely cheap. However, as you remember, it was slightly cumbersome to attach ultrasonic sensors and to run its code. It's time that we take a much simpler sensor and attach it to the car. 

This chapter will cover the following topics:

  • Infrared proximity sensor
  • Autonomous emergency braking
  • Giving it self-steering capabilities...