Ego-Vehicle Speed Correction for Automotive Radar Systems Using Convolutional Neural Networks

The development of autonomous driving vehicles has increased the global demand for robust and efficient automotive radar systems. This study proposes an automotive radar-based ego-vehicle speed detection network (AVSD Net) model using convolutional neural networks for estimating the speed of the ego...

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Detalhes bibliográficos

Principais autores:	Sunghoon Moon, Daehyun Kim, Younglok Kim
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-10-01
coleção:	Sensors
Assuntos:	automotive radar system ego-vehicle speed convolutional neural network vehicle speed correction speed ratio deep learning
Acesso em linha:	https://www.mdpi.com/1424-8220/24/19/6409
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