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...
| Hauptverfasser: | , , , |
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| Format: | Journal article |
| Sprache: | English |
| Veröffentlicht: |
MDPI
2020
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