Changes
On November 28, 2024 at 1:07:36 PM UTC,
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Set author of Z+F Imager 5016 Distance Uncertainty to Hartmann, Jan (previously Jan Hartmann)
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Updated description of Z+F Imager 5016 Distance Uncertainty from
This dataset presents a comparative analysis between a high accurate reference point cloud acquired using the Leica ATR 960 (Laser tracker) and Leica LAS XL (Hand-held scanner), and a total of 51 laser scans point clouds using Z+F Imager 5016. The comparisons were carried out at the Hitec Laboratory of the Geodetic Institute Hannover, where controlled scanning conditions were maintained while capturing various objects. Throughout the entire measurement process, great care was taken to ensure constant temperature and air pressure. The deviations observed through backward modeling are reflected in the distance measurements. Additionally, to explore potential factors influencing TLS distance measurements, feature engineering was conducted. The dataset is exceptionally well-suited for understanding and potentially modeling the uncertainties associated with TLS distance measurements. # Measurement process and backward modelling  # Feature engineering The formulas used for feature engineering are displayed in the following document: [Feature engineering](https://data.uni-hannover.de/dataset/e0dd7c6c-de06-4c44-8848-e1d7f9757a1a/resource/8d23b9f1-3b70-498f-b3e7-59d12b9e73f5/download/feature-engineering.pdf) # Object describtion & Viewpoints The definitions of individual objects can be extracted from the following figures. It can be observed that some objects exhibit similar characteristics.  The TLS viewpoints were distributed throughout the entire space of the laboratory. The 3D coordinates of the viewpoints as well as the corresponding standard deviations of the translation parameters, derived from the georeferencing process are given in document. [Viewpoint overview](https://data.uni-hannover.de/dataset/e0dd7c6c-de06-4c44-8848-e1d7f9757a1a/resource/75defd9e-8a9a-48c5-adf6-3ad5e7f40917/download/info_scan_positions.txt) Moreover, it should be mentioned that some TLS viewpoints have duplicate scans taken in the first and second locations.  # Data set description Each object in the dataset has its own individual data stored as a PLY file. These PLY files contain not only the XYZ coordinates but also the features and residuals. A comprehensive description of the dataset can be found in the associated documentation. [Data description](https://data.uni-hannover.de/dataset/e0dd7c6c-de06-4c44-8848-e1d7f9757a1a/resource/38a71f58-bc3a-4de7-8b0d-74947597a879/download/data.pdf)
toThis dataset presents a comparative analysis between a high accurate reference point cloud acquired using the Leica ATR 960 (Laser tracker) and Leica LAS XL (Hand-held scanner), and a total of 51 laser scans point clouds using Z+F Imager 5016. The comparisons were carried out at the Hitec Laboratory of the Geodetic Institute Hannover, where controlled scanning conditions were maintained while capturing various objects. Throughout the entire measurement process, great care was taken to ensure constant temperature and air pressure. The deviations observed through backward modeling are reflected in the distance measurements. Additionally, to explore potential factors influencing TLS distance measurements, feature engineering was conducted. The dataset is exceptionally well-suited for understanding and potentially modeling the uncertainties associated with TLS distance measurements. # Measurement process and backward modelling  # Feature engineering The formulas used for feature engineering are displayed in the following document: [Feature engineering](https://data.uni-hannover.de/dataset/e0dd7c6c-de06-4c44-8848-e1d7f9757a1a/resource/8d23b9f1-3b70-498f-b3e7-59d12b9e73f5/download/feature-engineering.pdf) # Object describtion & Viewpoints The definitions of individual objects can be extracted from the following figures. It can be observed that some objects exhibit similar characteristics.  The TLS viewpoints were distributed throughout the entire space of the laboratory. The 3D coordinates of the viewpoints as well as the corresponding standard deviations of the translation parameters, derived from the georeferencing process are given in document. [Viewpoint overview](https://data.uni-hannover.de/dataset/e0dd7c6c-de06-4c44-8848-e1d7f9757a1a/resource/75defd9e-8a9a-48c5-adf6-3ad5e7f40917/download/info_scan_positions.txt) Moreover, it should be mentioned that some TLS viewpoints have duplicate scans taken in the first and second phase.  # Data set description Each object in the dataset has its own individual data stored as a PLY file. These PLY files contain not only the XYZ coordinates but also the features and residuals. A comprehensive description of the dataset can be found in the associated documentation. [Data description](https://data.uni-hannover.de/dataset/e0dd7c6c-de06-4c44-8848-e1d7f9757a1a/resource/38a71f58-bc3a-4de7-8b0d-74947597a879/download/data.pdf)
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Changed value of field
extra_authors
to[{'extra_author': 'Heiken, Max', 'familyName': 'Heiken', 'givenName': 'Max'}, {'extra_author': 'Alkhatib, Hamza', 'familyName': 'Alkhatib', 'givenName': 'Hamza'}]
in Z+F Imager 5016 Distance Uncertainty -
Changed value of field
source_metadata_modified
to2023-08-22T10:38:19.648006
in Z+F Imager 5016 Distance Uncertainty -
Updated description of resource 12.ply in Z+F Imager 5016 Distance Uncertainty to
wall
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Uploaded a new file to resource 08.ply in Z+F Imager 5016 Distance Uncertainty
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Updated description of resource 02.ply in Z+F Imager 5016 Distance Uncertainty to
heating system
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Updated description of resource 13.ply in Z+F Imager 5016 Distance Uncertainty to
wall
f | 1 | { | f | 1 | { |
n | 2 | "author": "Jan Hartmann", | n | 2 | "author": "Hartmann, Jan", |
3 | "author_email": "jan.hartmann@gih.uni-hannover.de", | 3 | "author_email": "jan.hartmann@gih.uni-hannover.de", | ||
n | n | 4 | "citation": [], | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 5 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.25835/doresgbq", | 6 | "doi": "10.25835/doresgbq", | ||
6 | "doi_date_published": "2023-07-27", | 7 | "doi_date_published": "2023-07-27", | ||
7 | "doi_publisher": "LUIS", | 8 | "doi_publisher": "LUIS", | ||
8 | "doi_status": "true", | 9 | "doi_status": "true", | ||
9 | "domain": "https://data.uni-hannover.de", | 10 | "domain": "https://data.uni-hannover.de", | ||
10 | "extra_authors": [ | 11 | "extra_authors": [ | ||
11 | { | 12 | { | ||
n | 12 | "extra_author": " Max Heiken" | n | 13 | "extra_author": "Heiken, Max", |
14 | "familyName": "Heiken", | ||||
15 | "givenName": "Max" | ||||
13 | }, | 16 | }, | ||
14 | { | 17 | { | ||
n | 15 | "extra_author": " Hamza Alkhatib" | n | 18 | "extra_author": "Alkhatib, Hamza", |
19 | "familyName": "Alkhatib", | ||||
20 | "givenName": "Hamza" | ||||
16 | } | 21 | } | ||
17 | ], | 22 | ], | ||
n | n | 23 | "familyName": "Hartmann", | ||
24 | "givenName": "Jan", | ||||
18 | "groups": [], | 25 | "groups": [], | ||
19 | "have_copyright": "Yes", | 26 | "have_copyright": "Yes", | ||
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21 | "isopen": false, | 28 | "isopen": false, | ||
22 | "license_id": "CC-BY-NC-3.0", | 29 | "license_id": "CC-BY-NC-3.0", | ||
23 | "license_title": "CC-BY-NC-3.0", | 30 | "license_title": "CC-BY-NC-3.0", | ||
24 | "maintainer": "Jan Hartmann", | 31 | "maintainer": "Jan Hartmann", | ||
25 | "maintainer_email": "jan.hartmann@gih.uni-hannover.de", | 32 | "maintainer_email": "jan.hartmann@gih.uni-hannover.de", | ||
26 | "metadata_created": "2023-08-04T08:46:55.590915", | 33 | "metadata_created": "2023-08-04T08:46:55.590915", | ||
n | 27 | "metadata_modified": "2023-08-14T00:00:16.472181", | n | 34 | "metadata_modified": "2024-11-28T13:07:36.010318", |
28 | "name": "luh-z-f-imager-5016-distance-uncertainty", | 35 | "name": "luh-z-f-imager-5016-distance-uncertainty", | ||
29 | "notes": "This dataset presents a comparative analysis between a | 36 | "notes": "This dataset presents a comparative analysis between a | ||
30 | high accurate reference point cloud acquired using the Leica ATR 960 | 37 | high accurate reference point cloud acquired using the Leica ATR 960 | ||
31 | (Laser tracker) and Leica LAS XL (Hand-held scanner), and a total of | 38 | (Laser tracker) and Leica LAS XL (Hand-held scanner), and a total of | ||
32 | 51 laser scans point clouds using Z+F Imager 5016. The comparisons | 39 | 51 laser scans point clouds using Z+F Imager 5016. The comparisons | ||
33 | were carried out at the Hitec Laboratory of the Geodetic Institute | 40 | were carried out at the Hitec Laboratory of the Geodetic Institute | ||
34 | Hannover, where controlled scanning conditions were maintained while | 41 | Hannover, where controlled scanning conditions were maintained while | ||
35 | capturing various objects.\r\n\r\nThroughout the entire measurement | 42 | capturing various objects.\r\n\r\nThroughout the entire measurement | ||
36 | process, great care was taken to ensure constant temperature and air | 43 | process, great care was taken to ensure constant temperature and air | ||
37 | pressure. The deviations observed through backward modeling are | 44 | pressure. The deviations observed through backward modeling are | ||
38 | reflected in the distance measurements. Additionally, to explore | 45 | reflected in the distance measurements. Additionally, to explore | ||
39 | potential factors influencing TLS distance measurements, feature | 46 | potential factors influencing TLS distance measurements, feature | ||
40 | engineering was conducted.\r\nThe dataset is exceptionally well-suited | 47 | engineering was conducted.\r\nThe dataset is exceptionally well-suited | ||
41 | for understanding and potentially modeling the uncertainties | 48 | for understanding and potentially modeling the uncertainties | ||
42 | associated with TLS distance measurements.\r\n\r\n# Measurement | 49 | associated with TLS distance measurements.\r\n\r\n# Measurement | ||
43 | process and backward modelling | 50 | process and backward modelling | ||
44 | 7a0-0704-406c-a58b-0d0181cbe6ec/download/measurement_process.jpg)\r\n# | 51 | 7a0-0704-406c-a58b-0d0181cbe6ec/download/measurement_process.jpg)\r\n# | ||
45 | Feature engineering\r\n\r\nThe formulas used for feature engineering | 52 | Feature engineering\r\n\r\nThe formulas used for feature engineering | ||
46 | are displayed in the following document: \r\n[Feature | 53 | are displayed in the following document: \r\n[Feature | ||
47 | 3b70-498f-b3e7-59d12b9e73f5/download/feature-engineering.pdf)\r\n\r\n# | 54 | 3b70-498f-b3e7-59d12b9e73f5/download/feature-engineering.pdf)\r\n\r\n# | ||
48 | Object describtion & Viewpoints\r\nThe definitions of individual | 55 | Object describtion & Viewpoints\r\nThe definitions of individual | ||
49 | objects can be extracted from the following figures. It can be | 56 | objects can be extracted from the following figures. It can be | ||
50 | observed that some objects exhibit similar | 57 | observed that some objects exhibit similar | ||
51 | characteristics.\r\n![Objects inside the Hitec | 58 | characteristics.\r\n![Objects inside the Hitec | ||
52 | 05c9d-00db-4107-82d6-e58dafb37ada/download/objects.jpg)\r\n\r\n\r\nThe | 59 | 05c9d-00db-4107-82d6-e58dafb37ada/download/objects.jpg)\r\n\r\n\r\nThe | ||
53 | TLS viewpoints were distributed throughout the entire space of the | 60 | TLS viewpoints were distributed throughout the entire space of the | ||
54 | laboratory. The 3D coordinates of the viewpoints as well as the | 61 | laboratory. The 3D coordinates of the viewpoints as well as the | ||
55 | corresponding standard deviations of the translation parameters, | 62 | corresponding standard deviations of the translation parameters, | ||
56 | derived from the georeferencing process\r\nare given in document. | 63 | derived from the georeferencing process\r\nare given in document. | ||
57 | [Viewpoint | 64 | [Viewpoint | ||
58 | 75defd9e-8a9a-48c5-adf6-3ad5e7f40917/download/info_scan_positions.txt) | 65 | 75defd9e-8a9a-48c5-adf6-3ad5e7f40917/download/info_scan_positions.txt) | ||
59 | \r\n\r\n\r\nMoreover, it should be mentioned that some TLS viewpoints | 66 | \r\n\r\n\r\nMoreover, it should be mentioned that some TLS viewpoints | ||
n | 60 | have duplicate scans taken in the first and second locations. | n | 67 | have duplicate scans taken in the first and second phase. |
61 | f7eb4e9-fb96-43c2-b3a6-00d0bcd3cbc6/download/environment.jpg)\r\n\r\n# | 68 | f7eb4e9-fb96-43c2-b3a6-00d0bcd3cbc6/download/environment.jpg)\r\n\r\n# | ||
62 | Data set description\r\n\r\nEach object in the dataset has its own | 69 | Data set description\r\n\r\nEach object in the dataset has its own | ||
63 | individual data stored as a PLY file. These PLY files contain not only | 70 | individual data stored as a PLY file. These PLY files contain not only | ||
64 | the XYZ coordinates but also the features and residuals. A | 71 | the XYZ coordinates but also the features and residuals. A | ||
65 | comprehensive description of the dataset can be found in the | 72 | comprehensive description of the dataset can be found in the | ||
66 | associated documentation. [Data | 73 | associated documentation. [Data | ||
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74 | Hannover\r\n\r\nTelefon: +49 511 762 2462 | 81 | Hannover\r\n\r\nTelefon: +49 511 762 2462 | ||
75 | (Gesch\u00e4ftszimmer)\r\nFax: +49 511 762 2468 | 82 | (Gesch\u00e4ftszimmer)\r\nFax: +49 511 762 2468 | ||
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