Changes
On February 16, 2024 at 2:23:51 PM UTC, admin:
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Set author of GPS Trajectory Dataset of the Region of Hannover, Germany to S. Zourlidou (previously Zourlidou)
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Changed the license of GPS Trajectory Dataset of the Region of Hannover, Germany to (previously CC-BY-NC-3.0)
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Changed value of field
extra_authors
to[{'extra_author': 'J. Golze', 'orcid': ''}, {'extra_author': 'M. Sester', 'orcid': ''}]
in GPS Trajectory Dataset of the Region of Hannover, Germany
f | 1 | { | f | 1 | { |
n | 2 | "author": "Zourlidou", | n | 2 | "author": "S. Zourlidou", |
3 | "author_email": "stefania.zourlidou@ikg.uni-hannover.de", | 3 | "author_email": "stefania.zourlidou@ikg.uni-hannover.de", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.25835/9bidqxvl", | 5 | "doi": "10.25835/9bidqxvl", | ||
6 | "doi_date_published": "2022-08-01", | 6 | "doi_date_published": "2022-08-01", | ||
7 | "doi_publisher": "LUIS", | 7 | "doi_publisher": "LUIS", | ||
8 | "doi_status": "true", | 8 | "doi_status": "true", | ||
9 | "domain": "https://data.uni-hannover.de", | 9 | "domain": "https://data.uni-hannover.de", | ||
10 | "extra_authors": [ | 10 | "extra_authors": [ | ||
11 | { | 11 | { | ||
n | 12 | "extra_author": " S." | n | ||
13 | }, | ||||
14 | { | ||||
15 | "extra_author": " Golze" | 12 | "extra_author": "J. Golze", | ||
13 | "orcid": "" | ||||
16 | }, | 14 | }, | ||
17 | { | 15 | { | ||
n | 18 | "extra_author": " J. and Sester" | n | 16 | "extra_author": "M. Sester", |
19 | }, | 17 | "orcid": "" | ||
20 | { | ||||
21 | "extra_author": " M." | ||||
22 | } | 18 | } | ||
23 | ], | 19 | ], | ||
24 | "groups": [], | 20 | "groups": [], | ||
25 | "have_copyright": "Yes", | 21 | "have_copyright": "Yes", | ||
26 | "id": "cd0d8178-e82d-4a6b-8ecd-800a2c93e2e5", | 22 | "id": "cd0d8178-e82d-4a6b-8ecd-800a2c93e2e5", | ||
27 | "isopen": false, | 23 | "isopen": false, | ||
n | 28 | "license_id": "CC-BY-NC-3.0", | n | 24 | "license_id": "", |
29 | "license_title": "CC-BY-NC-3.0", | 25 | "license_title": "", | ||
30 | "maintainer": "Jens Golze", | 26 | "maintainer": "Jens Golze", | ||
31 | "maintainer_email": "jens.golze@ikg.uni-hannover.de", | 27 | "maintainer_email": "jens.golze@ikg.uni-hannover.de", | ||
32 | "metadata_created": "2023-01-12T13:14:25.397365", | 28 | "metadata_created": "2023-01-12T13:14:25.397365", | ||
n | 33 | "metadata_modified": "2023-08-04T08:46:47.413696", | n | 29 | "metadata_modified": "2024-02-16T14:23:51.827536", |
34 | "name": | 30 | "name": | ||
35 | "luh-single-user-trajectory-collection-for-the-region-of-hannover", | 31 | "luh-single-user-trajectory-collection-for-the-region-of-hannover", | ||
36 | "notes": "This dataset is used for the classification of traffic | 32 | "notes": "This dataset is used for the classification of traffic | ||
37 | intersection regulations using (car) GPS trajectory data. The coverage | 33 | intersection regulations using (car) GPS trajectory data. The coverage | ||
38 | is mostly a large part of the city of Hannover, Germany.\r\n\r\nThe | 34 | is mostly a large part of the city of Hannover, Germany.\r\n\r\nThe | ||
39 | overview of the GPS trajectory dataset is given in the below | 35 | overview of the GPS trajectory dataset is given in the below | ||
40 | 59-9ca3-4cbc-8774-de091f0fbcd6/download/hannover_traj.png)\r\n\r\nWhen | 36 | 59-9ca3-4cbc-8774-de091f0fbcd6/download/hannover_traj.png)\r\n\r\nWhen | ||
41 | the trajectory dataset is combined with the related intersection | 37 | the trajectory dataset is combined with the related intersection | ||
42 | ground-truth information (available at: | 38 | ground-truth information (available at: | ||
43 | edd-4bac-86b3-5d4a753bfecc/download/hannover_rules_traj.png)\r\n\r\n## | 39 | edd-4bac-86b3-5d4a753bfecc/download/hannover_rules_traj.png)\r\n\r\n## | ||
44 | Data Acquisition\r\nThe trajectory samples were recorded using an | 40 | Data Acquisition\r\nThe trajectory samples were recorded using an | ||
45 | android smartphone while driving a car in and around the city of | 41 | android smartphone while driving a car in and around the city of | ||
46 | Hannover, Germany. The acquisition period was from December 2017 to | 42 | Hannover, Germany. The acquisition period was from December 2017 to | ||
47 | March 2019 by only a single person. The recording of the trajectories | 43 | March 2019 by only a single person. The recording of the trajectories | ||
48 | has taken place without restrictions in order to reflect a normal | 44 | has taken place without restrictions in order to reflect a normal | ||
49 | behavior of everyday car journeys. The sampling rate is approximately | 45 | behavior of everyday car journeys. The sampling rate is approximately | ||
50 | 1 sample per second.\r\n\r\n## Related Publications:\r\n* __Zourlidou, | 46 | 1 sample per second.\r\n\r\n## Related Publications:\r\n* __Zourlidou, | ||
51 | S., Sester, M. and Hu, S. (2022):__ Recognition of Intersection | 47 | S., Sester, M. and Hu, S. (2022):__ Recognition of Intersection | ||
52 | Traffic Regulations From Crowdsourced Data. Preprints 2022, | 48 | Traffic Regulations From Crowdsourced Data. Preprints 2022, | ||
53 | 2022070012. DOI: 10.20944/preprints202207.0012.v1\r\n\r\n* | 49 | 2022070012. DOI: 10.20944/preprints202207.0012.v1\r\n\r\n* | ||
54 | __Zourlidou, S., Golze, J. and Sester, M. (2022):__ Traffic Regulation | 50 | __Zourlidou, S., Golze, J. and Sester, M. (2022):__ Traffic Regulation | ||
55 | Recognition using Crowd-Sensed GPS and Map Data: a Hybrid Approach, | 51 | Recognition using Crowd-Sensed GPS and Map Data: a Hybrid Approach, | ||
56 | AGILE GIScience Ser., 3, 22, 2022. | 52 | AGILE GIScience Ser., 3, 22, 2022. | ||
57 | https://doi.org/10.5194/agile-giss-3-22-2022\r\n\r\n* __Cheng, H., | 53 | https://doi.org/10.5194/agile-giss-3-22-2022\r\n\r\n* __Cheng, H., | ||
58 | Lei, H., Zourlidou, S., Sester, M. (2022):__ Traffic Control | 54 | Lei, H., Zourlidou, S., Sester, M. (2022):__ Traffic Control | ||
59 | Recognition with an Attention Mechanism Using Speed-Profile and | 55 | Recognition with an Attention Mechanism Using Speed-Profile and | ||
60 | Satellite Imagery data. The International Archives of the | 56 | Satellite Imagery data. The International Archives of the | ||
61 | Photogrammetry, Remote Sensing and Spatial Information Sciences | 57 | Photogrammetry, Remote Sensing and Spatial Information Sciences | ||
62 | XLIII-B4-2022, S. 287\u201329. | 58 | XLIII-B4-2022, S. 287\u201329. | ||
63 | https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-287-2022\r\n\r\n* | 59 | https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-287-2022\r\n\r\n* | ||
64 | __Wang, C., Zourlidou, S., Golze, J. and Sester, M. (2020):__ | 60 | __Wang, C., Zourlidou, S., Golze, J. and Sester, M. (2020):__ | ||
65 | Trajectory analysis at intersections for traffic rule identification. | 61 | Trajectory analysis at intersections for traffic rule identification. | ||
66 | Geo-spatial Information Science, 11(4):1-10. | 62 | Geo-spatial Information Science, 11(4):1-10. | ||
67 | https://doi.org/10.1080/10095020.2020.1843374\r\n\r\n* __Cheng, H., | 63 | https://doi.org/10.1080/10095020.2020.1843374\r\n\r\n* __Cheng, H., | ||
68 | Zourlidou, S. and Sester, M. (2020):__ Traffic Control Recognition | 64 | Zourlidou, S. and Sester, M. (2020):__ Traffic Control Recognition | ||
69 | with Speed-Profiles: A Deep Learning Approach. ISPRS Int. J. Geo-Inf. | 65 | with Speed-Profiles: A Deep Learning Approach. ISPRS Int. J. Geo-Inf. | ||
70 | 2020, 9, 652. https://doi.org/10.3390/ijgi9110652\r\n\r\n* __Golze, | 66 | 2020, 9, 652. https://doi.org/10.3390/ijgi9110652\r\n\r\n* __Golze, | ||
71 | J., Zourlidou, S. and Sester, M. (2020):__ Traffic Regulator Detection | 67 | J., Zourlidou, S. and Sester, M. (2020):__ Traffic Regulator Detection | ||
72 | Using GPS Trajectories. KN J. Cartogr. Geogr. Inf. | 68 | Using GPS Trajectories. KN J. Cartogr. Geogr. Inf. | ||
73 | https://doi.org/10.1007/s42489-020-00048-x\r\n\r\n* __Zourlidou, S., | 69 | https://doi.org/10.1007/s42489-020-00048-x\r\n\r\n* __Zourlidou, S., | ||
74 | Fischer, C. and Sester, M. (2019):__ Classification of street | 70 | Fischer, C. and Sester, M. (2019):__ Classification of street | ||
75 | junctions according to traffic regulators. In: _Kyriakidis, P., | 71 | junctions according to traffic regulators. In: _Kyriakidis, P., | ||
76 | Hadjimitsis, D., Skarlatos, D. and Mansourian, A., (eds) 2019_. | 72 | Hadjimitsis, D., Skarlatos, D. and Mansourian, A., (eds) 2019_. | ||
77 | Accepted short papers and posters from the 22nd AGILE conference on | 73 | Accepted short papers and posters from the 22nd AGILE conference on | ||
78 | geo-information science. Cyprus University of Technology 17\u201320 | 74 | geo-information science. Cyprus University of Technology 17\u201320 | ||
79 | June 2019, Limassol, Cyprus.\r\n\r\n## Related Datasets:\r\n* | 75 | June 2019, Limassol, Cyprus.\r\n\r\n## Related Datasets:\r\n* | ||
80 | __Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: Traffic | 76 | __Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: Traffic | ||
81 | Regulator Ground-truth Information for the Chicago Trajectory Dataset. | 77 | Regulator Ground-truth Information for the Chicago Trajectory Dataset. | ||
82 | https://doi.org/10.25835/0vifyzqi\r\n\r\n* __Zourlidou, S., Golze, J. | 78 | https://doi.org/10.25835/0vifyzqi\r\n\r\n* __Zourlidou, S., Golze, J. | ||
83 | and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset and Traffic | 79 | and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset and Traffic | ||
84 | Regulation Information of the Region of Edessa, Greece. | 80 | Regulation Information of the Region of Edessa, Greece. | ||
85 | https://doi.org/10.25835/v0mzwob3\r\n\r\n* __Zourlidou, S., Golze, J. | 81 | https://doi.org/10.25835/v0mzwob3\r\n\r\n* __Zourlidou, S., Golze, J. | ||
86 | and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth | 82 | and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth | ||
87 | Information of the City of Hannover, Germany. | 83 | Information of the City of Hannover, Germany. | ||
88 | https://doi.org/10.25835/cqg0x1el \r\n\r\n* __Zourlidou, S., Golze, J. | 84 | https://doi.org/10.25835/cqg0x1el \r\n\r\n* __Zourlidou, S., Golze, J. | ||
89 | and Sester, M. (2020).__ Dataset: Speed profiles and GPS Trajectories | 85 | and Sester, M. (2020).__ Dataset: Speed profiles and GPS Trajectories | ||
90 | for Traffic Rule Recognition (6 Junctions, Hannover, Germany). | 86 | for Traffic Rule Recognition (6 Junctions, Hannover, Germany). | ||
91 | https://doi.org/10.25835/0043786", | 87 | https://doi.org/10.25835/0043786", | ||
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