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ARTÍCULO
TITULO

On the Road: Route Proposal from Radar Self-Supervised by Fuzzy LiDAR Traversability

Michael Broome    
Matthew Gadd    
Daniele De Martini and Paul Newman    

Resumen

This paper uses a fuzzy logic ruleset to automatically label the traversability of the world as sensed by a LiDAR in order to learn a Deep Neural Network (DNN) model of drivable routes from radar alone.

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