Deep Learning Methods for Automotive Radar Signal Processing
Language: English
Published by Cuvillier Jun 2021, 2021
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 42.29
Quantity: 2 available
Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -For autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle¿s environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance¿or even replace¿the classical radar signal processing chain, are developed and evaluated in the context of automotive applications. For this purpose, state of the art computer vision approaches are adapted and applied to radar signals in order to detect and classify different road users. 136 pp. Englisch.
Seller Inventory # 9783736974623
- Title
- Deep Learning Methods for Automotive Radar Signal Processing
- Author
- Rodrigo Pérez González
- Publisher
- Cuvillier Jun 2021
- Publication year
- 2021
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3736974620
- ISBN 13
- 9783736974623
- Item weight
- 187 grams
- Dimensions
- 210x148x8 mm
"Synopsis" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
Shipping rates from Germany to U.S.A.
| Item | 5 to 15 business days | 5 to 15 business days |
|---|---|---|
| First item | £ 19.72 | £ 19.72 |
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BuchWeltWeit Ludwig Meier e.K.
Germany
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