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R Deep Learning Projects

You're reading from   R Deep Learning Projects Master the techniques to design and develop neural network models in R

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788478403
Length 258 pages
Edition 1st Edition
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Authors (2):
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Yuxi (Hayden) Liu Yuxi (Hayden) Liu
Author Profile Icon Yuxi (Hayden) Liu
Yuxi (Hayden) Liu
Pablo Maldonado Pablo Maldonado
Author Profile Icon Pablo Maldonado
Pablo Maldonado
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Toc

How is deep learning applied in self-driving cars?

A self-driving car (also called an autonomous/automated vehicle or driverless car) is a robotic vehicle that is capable of traveling between destinations and navigating without human intervention. To enable autonomy, self-driving cars detect and interpret environments using a variety of techniques such as radar, GPS and computer vision; and they then plan appropriate navigational paths to the desired destination.

In more detail, the following is how self-driving cars work in general:

  • The software plans the routes based on the destination, traffic, and road information and starts the car
  • A Light Detection and Ranging (LiDAR) sensor captures the surroundings in real time and creates a dynamic 3D map
  • Sensors monitor lateral movement to calculate the car's position on the 3D map
  • Radar systems exploit information on distances...
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R Deep Learning Projects
Published in: Feb 2018
Publisher: Packt
ISBN-13: 9781788478403
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