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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening |
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Identification Number: |
doi:10.18710/HMJVFM |
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Distributor: |
DataverseNO |
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Date of Distribution: |
2021-06-22 |
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Version: |
2 |
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Bibliographic Citation: |
Dybedal, Joacim, 2021, "Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening", https://doi.org/10.18710/HMJVFM, DataverseNO, V2 |
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Citation |
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Title: |
Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening |
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Identification Number: |
doi:10.18710/HMJVFM |
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Authoring Entity: |
Dybedal, Joacim (University of Agder) |
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Other identifications and acknowledgements: |
SFI Offshore Mechatronics |
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Producer: |
University of Agder |
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Date of Production: |
2018-08-24 |
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Software used in Production: |
Robot Operating System (ROS) |
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Grant Number: |
237896 |
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Distributor: |
DataverseNO |
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Distributor: |
University of Agder |
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Access Authority: |
Dybedal, Joacim |
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Depositor: |
Dybedal, Joacim |
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Date of Deposit: |
2021-02-08 |
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Holdings Information: |
https://doi.org/10.18710/HMJVFM |
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Study Scope |
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Keywords: |
Computer and Information Science, Engineering, RGB-D, Point Cloud, Vision, Human, Classification, Detection |
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Abstract: |
Dataset used to train and test a human classifier in the article "CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening". The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training. |
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Time Period: |
2018-08-23-2018-08-24 |
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Kind of Data: |
ROS (Robot Operating System) recording |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Dybedal, J. & Hovland, G. (2021). CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening. Modeling, Identification and Control, 42(2), 37-46. |
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Identification Number: |
10.4173/mic.2021.2.1 |
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Bibliographic Citation: |
Dybedal, J. & Hovland, G. (2021). CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening. Modeling, Identification and Control, 42(2), 37-46. |
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Label: |
00_readMe.txt |
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Notes: |
text/plain |
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Label: |
2018-08-23-100951-1human-cloudy-chess-merged.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-23-100951-1human-cloudy-chess.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-23-101703-1human-cloudy-chess-merged.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-23-101703-1human-cloudy-chess.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-23-102455-1human-cloudy-chess-merged.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-23-102455-1human-cloudy-chess.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-23-103801-1human-cloudy-aruco-merged.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-23-103801-1human-cloudy-aruco.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-23-104428-1human-cloudy-aruco-merged.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-23-104428-1human-cloudy-aruco.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-24-090649-2human-rain-merged.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-24-090649-2human-rain.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-24-095008-4human-lowsun-merged.bag |
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Notes: |
application/octet-stream |
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Label: |
2018-08-24-095008-4human-lowsun.bag |
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Notes: |
application/octet-stream |
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Label: |
example_video_human_detection.webm |
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Text: |
Screencast from RVIZ showing detected humans on the 4 human outdoor dataset. |
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Notes: |
video/webm |
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Label: |
TrainingImages.zip |
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Text: |
The images used for training the classifier, including images from both outdoor and indoor datasets. Divided into "Human" and "Not Human". |
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Notes: |
application/zip |