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...
मुख्य लेखकों: | Broome, M, Gadd, M, De Martini, D, Newman, P |
---|---|
स्वरूप: | Journal article |
भाषा: | English |
प्रकाशित: |
MDPI
2020
|
समान संसाधन
-
On the Road: Route Proposal from Radar Self-Supervised by Fuzzy LiDAR Traversability
द्वारा: Michael Broome, और अन्य
प्रकाशित: (2020-12-01) -
Knowledge Distillation for Traversable Region Detection of LiDAR Scan in Off-Road Environments
द्वारा: Nahyeong Kim, और अन्य
प्रकाशित: (2023-12-01) -
BoxGraph: semantic place recognition and pose estimation from 3D LiDAR
द्वारा: Pramatarov, G, और अन्य
प्रकाशित: (2021) -
LiDAR lateral localisation despite challenging occlusion from traffic
द्वारा: Suleymanov, T, और अन्य
प्रकाशित: (2020) -
That's my point: compact object-centric LiDAR pose estimation for large-scale outdoor localisation
द्वारा: Pramatarov, G, और अन्य
प्रकाशित: (2024)