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Erschienen in:
Advances, Opportunities and Challenges in AI-enabled Technologies for Autonomous and Connected Vehicles Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

Future Technology and Research Trends in Automotive Sensing

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

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

Verlag: 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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Vorheriges Kapitel Comparative Study on Transfer Learning for Object Classification and Detection
Nächstes Kapitel Robust AI Driving Strategy for Autonomous Vehicles
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Metadaten
Titel
Future Technology and Research Trends in Automotive Sensing
verfasst von
Paul Schmalenberg
Jae S. Lee
Sean P. Rodrigues
Danil Prokhorov
Copyright-Jahr
2023
Buch
AI-enabled Technologies for Autonomous and Connected Vehicles

Print ISBN: 978-3-031-06779-2

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

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-3-031-06780-8_6

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