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Deep Learning Methods For Automotive Radar Signal Processing Rodrigo Prez Gonzlez

Name: Deep Learning Methods For Automotive Radar Signal Processing Rodrigo Prez Gonzlez
SKU: BELL-46848468
Price: 31.00 USD
Availability: InStock
Rating: 4.1 (40 reviews)

SKU: BELL-46848468

$ 31.00 ~~$ 45.00~~ (-31%)

4.1

40 reviews

Deep Learning Methods For Automotive Radar Signal Processing Rodrigo Prez Gonzlez instant download after payment.

Publisher: Cuvillier

File Extension: PDF

File size: 9.6 MB

Pages: 136

Author: Rodrigo Pérez González

ISBN: 9783736974623, 3736974620

Language: English

Year: 2021

Product desciption

Deep Learning Methods For Automotive Radar Signal Processing Rodrigo Prez Gonzlez by Rodrigo Pérez González 9783736974623, 3736974620 instant download after payment.

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.