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{
            
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  "author": "Zourlidou",
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  "author": " S. Zourlidou",
            
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  "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",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
n
12
      "extra_author": " S."
n

            
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    },

            
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    {

            
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      "extra_author": " Golze"
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      "extra_author": " J. Golze",
            
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
n
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      "extra_author": " J. and Sester"
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      "extra_author": " M. Sester",
            
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    },
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      "orcid": ""
            
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    {

            
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      "extra_author": " M."

            
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    }
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    }
            
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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": "",
            
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  "license_title": "CC-BY-NC-3.0",
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  "license_title": "",
            
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  "maintainer": "Jens Golze",
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  "maintainer": "Jens Golze",
            
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  "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": "2023-08-04T08:46:32.018498",
n
29
  "metadata_modified": "2024-02-16T14:20:58.601215",
            
34
  "name": "luh-ground-truth-intersection-regulators-for-hannover",
30
  "name": "luh-ground-truth-intersection-regulators-for-hannover",
            
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  "notes": "This dataset contains the ground-truth intersection 
31
  "notes": "This dataset contains the ground-truth intersection 
            
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regulators for a majority of intersections of the city of Hannover, 
32
regulators for a majority of intersections of the city of Hannover, 
            
37
Germany.  The ground-truth information is used in order to apply 
33
Germany.  The ground-truth information is used in order to apply 
            
38
machine learning techniques on (car) GPS trajectory data in order to 
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machine learning techniques on (car) GPS trajectory data in order to 
            
39
automatically detect the intersection 
35
automatically detect the intersection 
            
40
-1a67-4374-97c7-397b65dad394/download/hannover_rules_1.png)\r\n\r\nThe 
36
-1a67-4374-97c7-397b65dad394/download/hannover_rules_1.png)\r\n\r\nThe 
            
41
GPS trajectories related to specifically this dataset are (also) 
37
GPS trajectories related to specifically this dataset are (also) 
            
42
available under: https://doi.org/10.25835/9bidqxvl\r\n\r\n## Data 
38
available under: https://doi.org/10.25835/9bidqxvl\r\n\r\n## Data 
            
43
Acquisition\r\nThe ground-truth information are acquired by visiting 
39
Acquisition\r\nThe ground-truth information are acquired by visiting 
            
44
them on-site and apply manual labeling of each intersection arm 
40
them on-site and apply manual labeling of each intersection arm 
            
45
individually. Furthermore, satellite images and street-level images 
41
individually. Furthermore, satellite images and street-level images 
            
46
were considered but only on a minor degree as on-site labeling is 
42
were considered but only on a minor degree as on-site labeling is 
            
47
found to be more precise and up-to-date.\r\n\r\n## Related 
43
found to be more precise and up-to-date.\r\n\r\n## Related 
            
48
Publications:\r\n* __Zourlidou, S., Sester, M. and Hu, S. (2022):__ 
44
Publications:\r\n* __Zourlidou, S., Sester, M. and Hu, S. (2022):__ 
            
49
Recognition of Intersection Traffic Regulations From Crowdsourced 
45
Recognition of Intersection Traffic Regulations From Crowdsourced 
            
50
Data. Preprints 2022, 2022070012. DOI: 
46
Data. Preprints 2022, 2022070012. DOI: 
            
51
10.20944/preprints202207.0012.v1\r\n\r\n* __Zourlidou, S., Golze, J. 
47
10.20944/preprints202207.0012.v1\r\n\r\n* __Zourlidou, S., Golze, J. 
            
52
and Sester, M. (2022):__ Traffic Regulation Recognition using 
48
and Sester, M. (2022):__ Traffic Regulation Recognition using 
            
53
Crowd-Sensed GPS and Map Data: a Hybrid Approach, AGILE GIScience 
49
Crowd-Sensed GPS and Map Data: a Hybrid Approach, AGILE GIScience 
            
54
Ser., 3, 22, 2022. 
50
Ser., 3, 22, 2022. 
            
55
https://doi.org/10.5194/agile-giss-3-22-2022\r\n\r\n* __Cheng, H., 
51
https://doi.org/10.5194/agile-giss-3-22-2022\r\n\r\n* __Cheng, H., 
            
56
Lei, H., Zourlidou, S., Sester, M. (2022):__ Traffic Control 
52
Lei, H., Zourlidou, S., Sester, M. (2022):__ Traffic Control 
            
57
Recognition with an Attention Mechanism Using Speed-Profile and 
53
Recognition with an Attention Mechanism Using Speed-Profile and 
            
58
Satellite Imagery data. The International Archives of the 
54
Satellite Imagery data. The International Archives of the 
            
59
Photogrammetry, Remote Sensing and Spatial Information Sciences 
55
Photogrammetry, Remote Sensing and Spatial Information Sciences 
            
60
XLIII-B4-2022, S. 287\u201329. 
56
XLIII-B4-2022, S. 287\u201329. 
            
61
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-287-2022\r\n\r\n* 
57
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-287-2022\r\n\r\n* 
            
62
__Wang, C., Zourlidou, S., Golze, J. and Sester, M. (2020):__ 
58
__Wang, C., Zourlidou, S., Golze, J. and Sester, M. (2020):__ 
            
63
Trajectory analysis at intersections for traffic rule identification. 
59
Trajectory analysis at intersections for traffic rule identification. 
            
64
Geo-spatial Information Science, 11(4):1-10. 
60
Geo-spatial Information Science, 11(4):1-10. 
            
65
https://doi.org/10.1080/10095020.2020.1843374\r\n\r\n* __Cheng, H., 
61
https://doi.org/10.1080/10095020.2020.1843374\r\n\r\n* __Cheng, H., 
            
66
Zourlidou, S. and Sester, M. (2020):__ Traffic Control Recognition 
62
Zourlidou, S. and Sester, M. (2020):__ Traffic Control Recognition 
            
67
with Speed-Profiles: A Deep Learning Approach. ISPRS Int. J. Geo-Inf. 
63
with Speed-Profiles: A Deep Learning Approach. ISPRS Int. J. Geo-Inf. 
            
68
2020, 9, 652. https://doi.org/10.3390/ijgi9110652\r\n\r\n* __Golze, 
64
2020, 9, 652. https://doi.org/10.3390/ijgi9110652\r\n\r\n* __Golze, 
            
69
J., Zourlidou, S. and Sester, M. (2020):__ Traffic Regulator Detection 
65
J., Zourlidou, S. and Sester, M. (2020):__ Traffic Regulator Detection 
            
70
Using GPS Trajectories. KN J. Cartogr. Geogr. Inf. 
66
Using GPS Trajectories. KN J. Cartogr. Geogr. Inf. 
            
71
https://doi.org/10.1007/s42489-020-00048-x\r\n\r\n* __Zourlidou, S., 
67
https://doi.org/10.1007/s42489-020-00048-x\r\n\r\n* __Zourlidou, S., 
            
72
Fischer, C. and Sester, M. (2019):__  Classification of street 
68
Fischer, C. and Sester, M. (2019):__  Classification of street 
            
73
junctions according to traffic regulators. In: _Kyriakidis, P., 
69
junctions according to traffic regulators. In: _Kyriakidis, P., 
            
74
Hadjimitsis, D., Skarlatos, D. and Mansourian, A., (eds) 2019_. 
70
Hadjimitsis, D., Skarlatos, D. and Mansourian, A., (eds) 2019_. 
            
75
Accepted short papers and posters from the 22nd AGILE conference on 
71
Accepted short papers and posters from the 22nd AGILE conference on 
            
76
geo-information science. Cyprus University of Technology 17\u201320 
72
geo-information science. Cyprus University of Technology 17\u201320 
            
77
June 2019, Limassol, Cyprus.\r\n\r\n## Related Datasets:\r\n* 
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June 2019, Limassol, Cyprus.\r\n\r\n## Related Datasets:\r\n* 
            
78
__Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: GPS 
74
__Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: GPS 
            
79
Trajectory Dataset of the Region of Hannover, Germany. 
75
Trajectory Dataset of the Region of Hannover, Germany. 
            
80
https://doi.org/10.25835/9bidqxvl\r\n\r\n* __Zourlidou, S., Golze, J. 
76
https://doi.org/10.25835/9bidqxvl\r\n\r\n* __Zourlidou, S., Golze, J. 
            
81
and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth 
77
and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth 
            
82
Information for the Chicago Trajectory Dataset. 
78
Information for the Chicago Trajectory Dataset. 
            
83
https://doi.org/10.25835/0vifyzqi\r\n\r\n* __Zourlidou, S., Golze, J. 
79
https://doi.org/10.25835/0vifyzqi\r\n\r\n* __Zourlidou, S., Golze, J. 
            
84
and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset and Traffic 
80
and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset and Traffic 
            
85
Regulation Information of the Region of Edessa, Greece. 
81
Regulation Information of the Region of Edessa, Greece. 
            
86
https://doi.org/10.25835/v0mzwob3\r\n\r\n* __Zourlidou, S., Golze, J. 
82
https://doi.org/10.25835/v0mzwob3\r\n\r\n* __Zourlidou, S., Golze, J. 
            
87
and Sester, M. (2020).__ Dataset: Speed profiles and GPS Trajectories 
83
and Sester, M. (2020).__ Dataset: Speed profiles and GPS Trajectories 
            
88
for Traffic Rule Recognition (6 Junctions, Hannover, Germany). 
84
for Traffic Rule Recognition (6 Junctions, Hannover, Germany). 
            
89
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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    "id": "9828c497-59fd-47a6-a39f-e9eec9bb8a66",
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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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    "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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  "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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      "description": "Shapefile containing the ground-truth rules for 
            
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