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  "author": "Zourlidou, S., Golze, J. and Sester, M.",
n
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  "author": "Zourlidou",
            
3
  "author_email": "stefania.zourlidou@ikg.uni-hannover.de",
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  "author_email": "stefania.zourlidou@ikg.uni-hannover.de",
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "doi": "10.25835/cqg0x1el",
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  "doi": "10.25835/cqg0x1el",
            
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  "doi_date_published": "2022-08-01",
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  "doi_date_published": "2022-08-01",
            
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  "doi_publisher": "LUIS",
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  "doi_publisher": "LUIS",
            
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  "doi_status": "true",
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  "doi_status": "true",
            
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  "domain": "https://data.uni-hannover.de",
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  "domain": "https://data.uni-hannover.de",
            
n
n
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  "extra_authors": [
            
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    {
            
12
      "extra_author": " S."
            
13
    },
            
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    {
            
15
      "extra_author": " Golze"
            
16
    },
            
17
    {
            
18
      "extra_author": " J. and Sester"
            
19
    },
            
20
    {
            
21
      "extra_author": " M."
            
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    }
            
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  ],
            
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  "groups": [],
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  "groups": [],
            
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  "have_copyright": "Yes",
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  "have_copyright": "Yes",
            
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  "id": "cc85daaf-8ee3-48f5-a9c9-e7f72b4adeec",
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  "id": "cc85daaf-8ee3-48f5-a9c9-e7f72b4adeec",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "CC-BY-NC-3.0",
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  "license_id": "CC-BY-NC-3.0",
            
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  "license_title": "CC-BY-NC-3.0",
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  "license_title": "CC-BY-NC-3.0",
            
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  "maintainer": "Jens Golze",
30
  "maintainer": "Jens Golze",
            
17
  "maintainer_email": "jens.golze@ikg.uni-hannover.de",
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  "maintainer_email": "jens.golze@ikg.uni-hannover.de",
            
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  "metadata_created": "2023-01-12T13:14:15.021436",
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  "metadata_created": "2023-01-12T13:14:15.021436",
            
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  "metadata_modified": "2023-01-12T13:14:15.021441",
n
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  "metadata_modified": "2023-08-04T08:46:32.018498",
            
20
  "name": "luh-ground-truth-intersection-regulators-for-hannover",
34
  "name": "luh-ground-truth-intersection-regulators-for-hannover",
            
21
  "notes": "This dataset contains the ground-truth intersection 
35
  "notes": "This dataset contains the ground-truth intersection 
            
22
regulators for a majority of intersections of the city of Hannover, 
36
regulators for a majority of intersections of the city of Hannover, 
            
23
Germany.  The ground-truth information is used in order to apply 
37
Germany.  The ground-truth information is used in order to apply 
            
24
machine learning techniques on (car) GPS trajectory data in order to 
38
machine learning techniques on (car) GPS trajectory data in order to 
            
25
automatically detect the intersection 
39
automatically detect the intersection 
            
26
-1a67-4374-97c7-397b65dad394/download/hannover_rules_1.png)\r\n\r\nThe 
40
-1a67-4374-97c7-397b65dad394/download/hannover_rules_1.png)\r\n\r\nThe 
            
27
GPS trajectories related to specifically this dataset are (also) 
41
GPS trajectories related to specifically this dataset are (also) 
            
28
available under: https://doi.org/10.25835/9bidqxvl\r\n\r\n## Data 
42
available under: https://doi.org/10.25835/9bidqxvl\r\n\r\n## Data 
            
29
Acquisition\r\nThe ground-truth information are acquired by visiting 
43
Acquisition\r\nThe ground-truth information are acquired by visiting 
            
30
them on-site and apply manual labeling of each intersection arm 
44
them on-site and apply manual labeling of each intersection arm 
            
31
individually. Furthermore, satellite images and street-level images 
45
individually. Furthermore, satellite images and street-level images 
            
32
were considered but only on a minor degree as on-site labeling is 
46
were considered but only on a minor degree as on-site labeling is 
            
33
found to be more precise and up-to-date.\r\n\r\n## Related 
47
found to be more precise and up-to-date.\r\n\r\n## Related 
            
34
Publications:\r\n* __Zourlidou, S., Sester, M. and Hu, S. (2022):__ 
48
Publications:\r\n* __Zourlidou, S., Sester, M. and Hu, S. (2022):__ 
            
35
Recognition of Intersection Traffic Regulations From Crowdsourced 
49
Recognition of Intersection Traffic Regulations From Crowdsourced 
            
36
Data. Preprints 2022, 2022070012. DOI: 
50
Data. Preprints 2022, 2022070012. DOI: 
            
37
10.20944/preprints202207.0012.v1\r\n\r\n* __Zourlidou, S., Golze, J. 
51
10.20944/preprints202207.0012.v1\r\n\r\n* __Zourlidou, S., Golze, J. 
            
38
and Sester, M. (2022):__ Traffic Regulation Recognition using 
52
and Sester, M. (2022):__ Traffic Regulation Recognition using 
            
39
Crowd-Sensed GPS and Map Data: a Hybrid Approach, AGILE GIScience 
53
Crowd-Sensed GPS and Map Data: a Hybrid Approach, AGILE GIScience 
            
40
Ser., 3, 22, 2022. 
54
Ser., 3, 22, 2022. 
            
41
https://doi.org/10.5194/agile-giss-3-22-2022\r\n\r\n* __Cheng, H., 
55
https://doi.org/10.5194/agile-giss-3-22-2022\r\n\r\n* __Cheng, H., 
            
42
Lei, H., Zourlidou, S., Sester, M. (2022):__ Traffic Control 
56
Lei, H., Zourlidou, S., Sester, M. (2022):__ Traffic Control 
            
43
Recognition with an Attention Mechanism Using Speed-Profile and 
57
Recognition with an Attention Mechanism Using Speed-Profile and 
            
44
Satellite Imagery data. The International Archives of the 
58
Satellite Imagery data. The International Archives of the 
            
45
Photogrammetry, Remote Sensing and Spatial Information Sciences 
59
Photogrammetry, Remote Sensing and Spatial Information Sciences 
            
46
XLIII-B4-2022, S. 287\u201329. 
60
XLIII-B4-2022, S. 287\u201329. 
            
47
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-287-2022\r\n\r\n* 
61
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-287-2022\r\n\r\n* 
            
48
__Wang, C., Zourlidou, S., Golze, J. and Sester, M. (2020):__ 
62
__Wang, C., Zourlidou, S., Golze, J. and Sester, M. (2020):__ 
            
49
Trajectory analysis at intersections for traffic rule identification. 
63
Trajectory analysis at intersections for traffic rule identification. 
            
50
Geo-spatial Information Science, 11(4):1-10. 
64
Geo-spatial Information Science, 11(4):1-10. 
            
51
https://doi.org/10.1080/10095020.2020.1843374\r\n\r\n* __Cheng, H., 
65
https://doi.org/10.1080/10095020.2020.1843374\r\n\r\n* __Cheng, H., 
            
52
Zourlidou, S. and Sester, M. (2020):__ Traffic Control Recognition 
66
Zourlidou, S. and Sester, M. (2020):__ Traffic Control Recognition 
            
53
with Speed-Profiles: A Deep Learning Approach. ISPRS Int. J. Geo-Inf. 
67
with Speed-Profiles: A Deep Learning Approach. ISPRS Int. J. Geo-Inf. 
            
54
2020, 9, 652. https://doi.org/10.3390/ijgi9110652\r\n\r\n* __Golze, 
68
2020, 9, 652. https://doi.org/10.3390/ijgi9110652\r\n\r\n* __Golze, 
            
55
J., Zourlidou, S. and Sester, M. (2020):__ Traffic Regulator Detection 
69
J., Zourlidou, S. and Sester, M. (2020):__ Traffic Regulator Detection 
            
56
Using GPS Trajectories. KN J. Cartogr. Geogr. Inf. 
70
Using GPS Trajectories. KN J. Cartogr. Geogr. Inf. 
            
57
https://doi.org/10.1007/s42489-020-00048-x\r\n\r\n* __Zourlidou, S., 
71
https://doi.org/10.1007/s42489-020-00048-x\r\n\r\n* __Zourlidou, S., 
            
58
Fischer, C. and Sester, M. (2019):__  Classification of street 
72
Fischer, C. and Sester, M. (2019):__  Classification of street 
            
59
junctions according to traffic regulators. In: _Kyriakidis, P., 
73
junctions according to traffic regulators. In: _Kyriakidis, P., 
            
60
Hadjimitsis, D., Skarlatos, D. and Mansourian, A., (eds) 2019_. 
74
Hadjimitsis, D., Skarlatos, D. and Mansourian, A., (eds) 2019_. 
            
61
Accepted short papers and posters from the 22nd AGILE conference on 
75
Accepted short papers and posters from the 22nd AGILE conference on 
            
62
geo-information science. Cyprus University of Technology 17\u201320 
76
geo-information science. Cyprus University of Technology 17\u201320 
            
63
June 2019, Limassol, Cyprus.\r\n\r\n## Related Datasets:\r\n* 
77
June 2019, Limassol, Cyprus.\r\n\r\n## Related Datasets:\r\n* 
            
64
__Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: GPS 
78
__Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: GPS 
            
65
Trajectory Dataset of the Region of Hannover, Germany. 
79
Trajectory Dataset of the Region of Hannover, Germany. 
            
66
https://doi.org/10.25835/9bidqxvl\r\n\r\n* __Zourlidou, S., Golze, J. 
80
https://doi.org/10.25835/9bidqxvl\r\n\r\n* __Zourlidou, S., Golze, J. 
            
67
and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth 
81
and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth 
            
68
Information for the Chicago Trajectory Dataset. 
82
Information for the Chicago Trajectory Dataset. 
            
69
https://doi.org/10.25835/0vifyzqi\r\n\r\n* __Zourlidou, S., Golze, J. 
83
https://doi.org/10.25835/0vifyzqi\r\n\r\n* __Zourlidou, S., Golze, J. 
            
70
and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset and Traffic 
84
and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset and Traffic 
            
71
Regulation Information of the Region of Edessa, Greece. 
85
Regulation Information of the Region of Edessa, Greece. 
            
72
https://doi.org/10.25835/v0mzwob3\r\n\r\n* __Zourlidou, S., Golze, J. 
86
https://doi.org/10.25835/v0mzwob3\r\n\r\n* __Zourlidou, S., Golze, J. 
            
73
and Sester, M. (2020).__ Dataset: Speed profiles and GPS Trajectories 
87
and Sester, M. (2020).__ Dataset: Speed profiles and GPS Trajectories 
            
74
for Traffic Rule Recognition (6 Junctions, Hannover, Germany). 
88
for Traffic Rule Recognition (6 Junctions, Hannover, Germany). 
            
75
https://doi.org/10.25835/0043786",
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https://doi.org/10.25835/0043786",
            
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    "created": "2021-10-14T10:15:58.271235",
            
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    "description": "Appelstra\u00dfe 9 a, 30167 Hannover, 
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    "description": "Appelstra\u00dfe 9 a, 30167 Hannover, 
            
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https://www.ikg.uni-hannover.de/",
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https://www.ikg.uni-hannover.de/",
            
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    "image_url": 
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    "image_url": 
            
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ni-hannover.de/fileadmin/_processed_/a/0/csm_IKG_Logo_0680c1122c.png",
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "institut-fur-kartographie-und-geoinformatik",
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    "name": "institut-fur-kartographie-und-geoinformatik",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Institut f\u00fcr Kartographie und Geoinformatik",
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    "type": "organization"
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  "private": false,
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "repository_name": "Leibniz University Hannover",
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  "repository_name": "Leibniz University Hannover",
            
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      "description": "Shapefile containing the Hannover ground-truth 
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      "description": "Shapefile containing the Hannover ground-truth 
            
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information for the junction regulators.",
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information for the junction regulators.",
            
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