![](/Cover/978-3-8440-9531-9_Cover_B.Gif) | Marco BraunDeep Learning Methods for Velocity Estimation based on Automotive Radar DataUtilization of Doppler Effects for Environment Perception |
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![](/Cover/978-3-8440-9531-9_Cover_S.Gif) | ![](/Cover/Back/978-3-8440-9531-9_Back_S.Gif) | voorkant | achterkant |
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ISBN: | 978-3-8440-9531-9 |
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Reeks: | Elektrotechnik |
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Trefwoorden: | Radar Machine Learning; Doppler Disambiguation; Deep Learning; Artificial Intelligence; Velocity Estimation |
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Soort publicatie: | Dissertatie |
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Taal: | Engels |
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Pagina's: | 198 pagina's |
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Gewicht: | 653 g |
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Formaat: | 24 x 17 cm |
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Bindung: | Hardcover |
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Prijs: | 58,80 € / 73,60 SFr |
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Verschijningsdatum: | Juni 2024 |
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Samenvatting | Identification of object velocities in the vicinity of self-driving vehicles is of exceptional importance as it provides insights into the evolving environment. To satisfy this demand, this thesis addresses a holistic approach to environment perception, with a particular focus on velocity estimation. Specifically, pioneering artificial intelligence methods are developed to process automotive radar data. |
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