Deep Learning Methods for Automotive Radar Signal Processing

✍ Scribed by Rodrigo Pérez González

Publisher: Cuvillier
Year: 2021
Tongue: English
Leaves: 137
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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