A practical guide to learning visual perception for self-driving cars for computer vision and autonomous system engineers Key Features * Explore the building blocks of the visual perception system in self-driving cars * Identify objects and lanes to define the boundary of driving surfaces using open-source tools like OpenCV and Python * Improve the object detection and classification capabilities of systems with the help of neural networks Book Description The visual perception capabilities of a self-driving car are powered by computer vision. The work relating to self-driving cars can be broadly classified into three components - robotics, computer vision, and machine learning. This provides existing computer vision engineers and developers a unique opportunity to be associated with this booming field. In this book, you will learn about computer vision, deep learning, and depth perception applied to driverless cars. The book provides a structured and thorough introduction, as making a real self-driving car is a huge cross-functional effort. As you progress, you will cover relevant cases with working code. The book will also show you how to use OpenCV and TensorFlow and Keras to analyze video streaming from car cameras. Later, you will learn how to interpret and make the most of lidars and radars to identify obstacles. You'll even be able to tackle core challenges in self-driving cars such as finding lanes and object detection. By the end of this book, you'll be equipped with the skills you need to write code for a self-driving car running in a video game simulator, and be able to tackle various challenges faced by self-driving car engineers. What you will learn * Understand how to perform camera calibration * Create lane detection with OpenCV * Explore behavioral cloning by self-driving in a video-game simulator * Get to grips with using lidars and radars * Discover how to configure the controls for autonomous vehicles * Write code for a self-driving car running in a video game Who This Book Is For This book is for software engineers who are interested in learning about technologies that drive the autonomous car revolution. Although basic knowledge of computer vision and Python programming is required, prior knowledge of advanced deep learning and how to use sensors (lidar/radar) is not needed.

Book Information
ISBN 9781800203587
Author Luca Venturi
Format Paperback
Page Count 329
Imprint Packt Publishing Limited
Publisher Packt Publishing Limited
Weight(grams) 191g