Polarimetric Radar for Automotive Applications
Current automotive radar sensors prove to be a weather robust and low-cost solution, but are suffering from low resolution and are not capable of classifying detected targets. However, for future applications like autonomous driving, such features are becoming ever increasingly important. On the bas...
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Main Author: | |
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Format: | Electronic Book Chapter |
Language: | English |
Published: |
KIT Scientific Publishing
2019
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Series: | Karlsruher Forschungsberichte aus dem Institut für Hochfrequenztechnik und Elektronik
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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020 | |a KSP/1000090003 | ||
020 | |a 9783731508885 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.5445/KSP/1000090003 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
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100 | 1 | |a Visentin, Tristan |4 auth | |
245 | 1 | 0 | |a Polarimetric Radar for Automotive Applications |
260 | |b KIT Scientific Publishing |c 2019 | ||
300 | |a 1 electronic resource (IX, 159 p. p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Karlsruher Forschungsberichte aus dem Institut für Hochfrequenztechnik und Elektronik | |
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a Current automotive radar sensors prove to be a weather robust and low-cost solution, but are suffering from low resolution and are not capable of classifying detected targets. However, for future applications like autonomous driving, such features are becoming ever increasingly important. On the basis of successful state-of-the-art applications, this work presents the first in-depth analysis and ground-breaking, novel results of polarimetric millimeter wave radars for automotive applications. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Technology: general issues |2 bicssc | |
653 | |a Machine-Learning | ||
653 | |a Millimeter-Wave Radar | ||
653 | |a Automotive Radar | ||
653 | |a Polarimetric Radar | ||
653 | |a Target Classification | ||
653 | |a Polarimetrie | ||
653 | |a Millimeterwellen-Radar | ||
653 | |a Objekterkennung | ||
653 | |a KI | ||
653 | |a Automotive-Radar | ||
856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731508885 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/56494 |7 0 |z DOAB: description of the publication |