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- Išsiųsime per 12–18 d.d.
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- Autorius: Rodrigo Pérez González
- Leidėjas: Cuvillier
- ISBN-10: 3736974620
- ISBN-13: 9783736974623
- Formatas: 14.8 x 21 x 0.7 cm, minkšti viršeliai
- Kalba: Anglų
Deep Learning Methods for Automotive Radar Signal Processing (el. knyga) (skaityta knyga) | knygos.lt
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Aprašymas
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.
- Autorius: Rodrigo Pérez González
- Leidėjas: Cuvillier
- ISBN-10: 3736974620
- ISBN-13: 9783736974623
- Formatas: 14.8 x 21 x 0.7 cm, minkšti viršeliai
- Kalba: Anglų
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.
Atsiliepimai