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...
Үндсэн зохиолчид: | Broome, M, Gadd, M, De Martini, D, Newman, P |
---|---|
Формат: | Journal article |
Хэл сонгох: | English |
Хэвлэсэн: |
MDPI
2020
|
Ижил төстэй зүйлс
Ижил төстэй зүйлс
-
On the Road: Route Proposal from Radar Self-Supervised by Fuzzy LiDAR Traversability
-н: Michael Broome, зэрэг
Хэвлэсэн: (2020-12-01) -
Knowledge Distillation for Traversable Region Detection of LiDAR Scan in Off-Road Environments
-н: Nahyeong Kim, зэрэг
Хэвлэсэн: (2023-12-01) -
BoxGraph: semantic place recognition and pose estimation from 3D LiDAR
-н: Pramatarov, G, зэрэг
Хэвлэсэн: (2021) -
LiDAR lateral localisation despite challenging occlusion from traffic
-н: Suleymanov, T, зэрэг
Хэвлэсэн: (2020) -
That's my point: compact object-centric LiDAR pose estimation for large-scale outdoor localisation
-н: Pramatarov, G, зэрэг
Хэвлэсэн: (2024)