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2023 | OriginalPaper | Chapter

Artificially Intelligent Active Safety Systems

Authors : Trevor Vidano, Francis Assadian, Nihal Gulati

Published in: AI-enabled Technologies for Autonomous and Connected Vehicles

Publisher: Springer International Publishing

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Abstract

To better connect the Artificial Intelligence and Vehicle Control Communities, the SAE set of terms and definitions for Active Safety Systems is used to discuss modern applications of artificial intelligence to Active Safety Systems. This chapter begins with an introduction to the technology enabling Active Safety Systems and its impact on improving on-road safety. A new dataset is introduced that captures the prevalence of Active Safety Systems in the United States (U.S.) automotive industry for the model year 2021. Three different analyses are performed on this dataset to demonstrate its potential value in studying the offered Active Safety Systems in the U.S. automotive industry. Finally, promising Artificial Intelligence applications to the automotive industry are presented from the fields of deep learning, reinforcement learning, and imitation learning. An example of reinforcement learning applied to Automatic Emergency Braking is provided and demonstrates that reinforcement learning agents can learn policies that are effective in avoiding a collision. This chapter concludes that Artificial Intelligence will play a critical role in the future of automotive safety systems.

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Title: Artificially Intelligent Active Safety Systems
Authors: Trevor Vidano
Francis Assadian
Nihal Gulati
Publisher: Springer International Publishing
Book: AI-enabled Technologies for Autonomous and Connected Vehicles
Print ISBN: 978-3-031-06779-2

Electronic ISBN: 978-3-031-06780-8

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-06780-8_8

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