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portada Deep Learning Methods for Automotive Radar Signal Processing
Type
Physical Book
Publisher
Language
English
Pages
136
Format
Paperback
Dimensions
21.0 x 14.8 x 0.7 cm
Weight
0.17 kg.
ISBN13
9783736974623

Deep Learning Methods for Automotive Radar Signal Processing

Rodrigo Pérez González (Author) · Cuvillier · Paperback

Deep Learning Methods for Automotive Radar Signal Processing - Pérez González, Rodrigo

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Synopsis "Deep Learning Methods for Automotive Radar Signal Processing "

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.

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