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Automatic labelling of urban point clouds using data fusion
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Automatic labelling of urban point clouds using data fusion

D. Bloembergen
Chris Eijgenstein
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Automatic labelling of urban point clouds using data fusion"

6 / 6 papers shown
Title
Towards Robust Few-shot Point Cloud Semantic Segmentation
Towards Robust Few-shot Point Cloud Semantic SegmentationBritish Machine Vision Conference (BMVC), 2023
Yating Xu
Na Zhao
Gim Hee Lee
3DPC
95
3
0
20 Sep 2023
Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks
Differentiable SLAM Helps Deep Learning-based LiDAR Perception TasksBritish Machine Vision Conference (BMVC), 2023
Prashant Kumar
Dheeraj Vattikonda
Vedang Bhupesh Shenvi Nadkarni
Erqun Dong
Sabyasachi Sahoo
103
2
0
17 Sep 2023
From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation
From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentationRemote Sensing (RS), 2023
Galadrielle Humblot-Renaux
S. B. Jensen
Andreas Møgelmose
SSeg3DPCNoLa
147
6
0
06 Feb 2023
You Only Label Once: 3D Box Adaptation from Point Cloud to Image via Semi-Supervised Learning
You Only Label Once: 3D Box Adaptation from Point Cloud to Image via Semi-Supervised LearningIEEE Robotics and Automation Letters (RA-L), 2022
Jieqi Shi
Peiliang Li
Xiaozhi Chen
Shaojie Shen
3DPC
121
1
0
17 Nov 2022
Determining Accessible Sidewalk Width by Extracting Obstacle Information from Point Clouds
Determining Accessible Sidewalk Width by Extracting Obstacle Information from Point Clouds
C. Pinhao
Chris Eijgenstein
Iva Gornishka
Shayla Jansen
D. Roijers
D. Bloembergen
33
0
0
08 Nov 2022
Learning Moving-Object Tracking with FMCW LiDAR
Learning Moving-Object Tracking with FMCW LiDARIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Yinjuan Gu
Hongzhi Cheng
Kafeng Wang
Dejing Dou
Chengzhong Xu
Hui Kong
136
6
0
02 Mar 2022

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