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2021 | OriginalPaper | Chapter

Sensors for Automated Driving

Authors : Stefan Muckenhuber, Kenan Softic, Anton Fuchs, Georg Stettinger, Daniel Watzenig

Published in: Autonomous Vehicles

Publisher: Springer Nature Singapore

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Abstract

A sensor system capable of supporting automated driving functions needs to provide both reliable localization of the vehicle and robust environment perception of the vehicle’s surrounding. The following chapter introduces the working principles and the state of the art of automotive sensors for localization (GNSS and INS) and environment perception (camera, radar and LIDAR), corresponding sensormodelsand sensor fusion techniques. Sensor models will allow for the replacement of conventional test drives and physical component tests by using simulations in virtual test environments to meet the increasing requirements of automated vehicles with respect to development costs, time and safety. Considering the multitude and complexity of possible environmental conditions, realistic simulation of perception sensors is a particularly demanding topic. To increase the performance of a sensor system, compensate for limitations of each sensor modality, and increase the overall robustness of the system, sensor fusion techniques are an important subject in automotive research.

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Title: Sensors for Automated Driving
Authors: Stefan Muckenhuber
Kenan Softic
Anton Fuchs
Georg Stettinger
Daniel Watzenig
Publisher: Springer Nature Singapore
Book: Autonomous Vehicles
Print ISBN: 978-981-15-9254-6

Electronic ISBN: 978-981-15-9255-3

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-981-15-9255-3_6

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