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Part 1: Document Description
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Citation |
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Title: |
SynLiDAR dataset |
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Identification Number: |
doi:10.21979/N9/BSKUOE |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2021-07-28 |
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Version: |
2 |
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Bibliographic Citation: |
Lu, Shijian; Xiao, Aoran, 2021, "SynLiDAR dataset", https://doi.org/10.21979/N9/BSKUOE, DR-NTU (Data), V2 |
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Citation |
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Title: |
SynLiDAR dataset |
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Identification Number: |
doi:10.21979/N9/BSKUOE |
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Authoring Entity: |
Lu, Shijian (Nanyang Technological University) |
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Xiao, Aoran (Nanyang Technological University) |
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Software used in Production: |
Linux |
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Software used in Production: |
Python |
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Grant Number: |
IAF-ICP I1701E0013 |
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Grant Number: |
IAF-ICP I1701E0013 |
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Grant Number: |
IAF-ICP I1701E0013 |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Lu, Shijian |
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Depositor: |
Xiao, Aoran |
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Date of Deposit: |
2021-07-28 |
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Holdings Information: |
https://doi.org/10.21979/N9/BSKUOE |
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Study Scope |
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Keywords: |
Computer and Information Science, Engineering, Computer and Information Science, Engineering, Point Cloud, LiDAR, Semantic Segmentation |
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Abstract: |
This dataset includes raw point cloud sequences with point-wise annotations of SynLiDAR. |
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Kind of Data: |
Experiment Data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Materials |
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Check our dataset project page at <a href="https://github.com/xiaoaoran/SynLiDAR">https://github.com/xiaoaoran/SynLiDAR</a> |
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Related Publications |
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Citation |
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Identification Number: |
10.1609/aaai.v36i3.20183 |
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Bibliographic Citation: |
Xiao, A., Huang, J., Guan, D., Zhan, F., & Lu, S. (2022). Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence, 36(3), 2795-2803. |
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read_data.py |
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python demo for reading points and labels |
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