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Advances, Opportunities and Challenges in AI-enabled Technologies for Autonomous and Connected Vehicles Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Future Technology and Research Trends in Automotive Sensing

Authors : Paul Schmalenberg, Jae S. Lee, Sean P. Rodrigues, Danil Prokhorov

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

Publisher: Springer International Publishing

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Abstract

We discuss the importance of sensing technology in enabling intelligence of future automotive vehicles. We briefly overview efforts of leading technology companies such as Waymo and Tesla which resulted in impressive progress toward highest levels of driving automation. We then describe our efforts in the areas of future radars and lidars, specifically, those which go beyond 2D and mechanical scanning emphasizing importance of AI in improving sensor performance at marginal added cost. We then discuss trends in optical computing with its promise of substantially reducing energy consumption while enhancing edge computing.

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previous chapter Comparative Study on Transfer Learning for Object Classification and Detection
next chapter Robust AI Driving Strategy for Autonomous Vehicles
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Metadata
Title
Future Technology and Research Trends in Automotive Sensing
Authors
Paul Schmalenberg
Jae S. Lee
Sean P. Rodrigues
Danil Prokhorov
Copyright Year
2023
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_6

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