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What is Perception Action Cycle

Chapter 6
Smart Systems Design, Applications, and Challenges
Is an intuitive explanation of the technical setting of reinforcement learning. It is the circular flow of information that takes place between a moving object and its environment in form of a sensory-guided sequence of behavior.
Published in Chapter:
The Exploration of Autonomous Vehicles
Anthony J. Gephardt (Waynesburg University, USA) and Elizabeth Baoying Wang (Waynesburg University, USA)
Copyright: © 2020 |Pages: 15
DOI: 10.4018/978-1-7998-2112-0.ch006
Abstract
This chapter explores the world of autonomous vehicles. Starting from the beginning, it covers the history of the automobile dating back to 1769. It explains how the first production automobile came about in 1885. The chapter dives into the history of auto safety, ranging from seatbelts to full-on autonomous features. One of the main focuses is the creation and implementation of artificial intelligent (AI), neural networks, intelligent agents, and deep Learning Processes. Combining the hardware on the vehicle with the intelligence of AI creates what we know as autonomous vehicles today.
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