On the road: route proposal from radar self-supervised by fuzzy LiDAR traversability

On the road: route proposal from radar self-supervised by fuzzy LiDAR traversability

This is motivated by a requirement for robust, autonomy-enabling scene understanding in unknown environments. In the method proposed in this paper, discriminative machine-learning approaches are applied to infer traversability and predict routes from Frequency-Modulated Contunuous-Wave (FMCV) radar...

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Dades bibliogràfiques
Autors principals:	Broome, M, Gadd, M, De Martini, D, Newman, P
Format:	Journal article
Idioma:	English
Publicat:	MDPI 2020

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