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PointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with
  Segment-level Consistency Training for Mobile Robots in Horticulture

PointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with Segment-level Consistency Training for Mobile Robots in Horticulture

29 May 2024
T. Barros
L. Garrote
Pedro Conde
M. J. Coombes
C. Liu
C. Premebida
U. J. Nunes
    3DPC
ArXivPDFHTML

Papers citing "PointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with Segment-level Consistency Training for Mobile Robots in Horticulture"

2 / 2 papers shown
Title
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place
  Recognition
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition
Kavisha Vidanapathirana
Milad Ramezani
Peyman Moghadam
S. Sridharan
Clinton Fookes
3DPC
3DV
31
82
0
17 Sep 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
1