Changes
On August 4, 2023 at 8:46:31 AM UTC, admin:
-
Set author of Traffic Regulator Ground-truth Information for the Chicago Trajectory Dataset to Zourlidou (previously Zourlidou, S., Golze, J. and Sester, M.)
f | 1 | { | f | 1 | { |
n | 2 | "author": "Zourlidou, S., Golze, J. and Sester, M.", | n | 2 | "author": "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": "10.25835/0vifyzqi", | 5 | "doi": "10.25835/0vifyzqi", | ||
6 | "doi_date_published": "2022-02-10", | 6 | "doi_date_published": "2022-02-10", | ||
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", | ||
n | n | 10 | "extra_authors": [ | ||
11 | { | ||||
12 | "extra_author": " S." | ||||
13 | }, | ||||
14 | { | ||||
15 | "extra_author": " Golze" | ||||
16 | }, | ||||
17 | { | ||||
18 | "extra_author": " J. and Sester" | ||||
19 | }, | ||||
20 | { | ||||
21 | "extra_author": " M." | ||||
22 | } | ||||
23 | ], | ||||
10 | "groups": [], | 24 | "groups": [], | ||
11 | "have_copyright": "Yes", | 25 | "have_copyright": "Yes", | ||
12 | "id": "bb417008-4b1c-45f9-8e7a-d13398de4374", | 26 | "id": "bb417008-4b1c-45f9-8e7a-d13398de4374", | ||
13 | "isopen": false, | 27 | "isopen": false, | ||
14 | "license_id": "CC-BY-NC-3.0", | 28 | "license_id": "CC-BY-NC-3.0", | ||
15 | "license_title": "CC-BY-NC-3.0", | 29 | "license_title": "CC-BY-NC-3.0", | ||
16 | "maintainer": "Jens Golze", | 30 | "maintainer": "Jens Golze", | ||
17 | "maintainer_email": "jens.golze@ikg.uni-hannover.de", | 31 | "maintainer_email": "jens.golze@ikg.uni-hannover.de", | ||
18 | "metadata_created": "2023-01-12T13:14:14.806022", | 32 | "metadata_created": "2023-01-12T13:14:14.806022", | ||
n | 19 | "metadata_modified": "2023-01-12T13:14:14.806027", | n | 33 | "metadata_modified": "2023-08-04T08:46:31.837983", |
20 | "name": "luh-groundtruth-intersection-regulators-for-chicago", | 34 | "name": "luh-groundtruth-intersection-regulators-for-chicago", | ||
21 | "notes": "This dataset contains the ground-truth intersection | 35 | "notes": "This dataset contains the ground-truth intersection | ||
22 | regulators for all intersections crossed by the open GPS trajectory | 36 | regulators for all intersections crossed by the open GPS trajectory | ||
23 | data of Chicago, published on | 37 | data of Chicago, published on | ||
24 | [Mapconstruction.org](http://mapconstruction.org).\r\n\r\n## Data | 38 | [Mapconstruction.org](http://mapconstruction.org).\r\n\r\n## Data | ||
25 | Acquisition\r\nThe ground-truth data is generated by manually | 39 | Acquisition\r\nThe ground-truth data is generated by manually | ||
26 | inspecting images at the intersections crossed by the published | 40 | inspecting images at the intersections crossed by the published | ||
27 | trajectory dataset on | 41 | trajectory dataset on | ||
28 | [Mapconstruction.org](http://mapconstruction.org). These images are | 42 | [Mapconstruction.org](http://mapconstruction.org). These images are | ||
29 | derived from [mapillary.com](https://www.mapillary.com/) at the | 43 | derived from [mapillary.com](https://www.mapillary.com/) at the | ||
30 | respective intersections. Satellite images are investigated as an | 44 | respective intersections. Satellite images are investigated as an | ||
31 | additional data source, if needed. This procedure result in labels for | 45 | additional data source, if needed. This procedure result in labels for | ||
32 | each intersection arm.\r\n\r\n## Related Publications:\r\n* | 46 | each intersection arm.\r\n\r\n## Related Publications:\r\n* | ||
33 | __Zourlidou, S., Sester, M. and Hu, S. (2022):__ Recognition of | 47 | __Zourlidou, S., Sester, M. and Hu, S. (2022):__ Recognition of | ||
34 | Intersection Traffic Regulations From Crowdsourced Data. Preprints | 48 | Intersection Traffic Regulations From Crowdsourced Data. Preprints | ||
35 | 2022, 2022070012. DOI: 10.20944/preprints202207.0012.v1\r\n\r\n* | 49 | 2022, 2022070012. DOI: 10.20944/preprints202207.0012.v1\r\n\r\n* | ||
36 | __Zourlidou, S., Golze, J. and Sester, M. (2022):__ Traffic Regulation | 50 | __Zourlidou, S., Golze, J. and Sester, M. (2022):__ Traffic Regulation | ||
37 | Recognition using Crowd-Sensed GPS and Map Data: a Hybrid Approach, | 51 | Recognition using Crowd-Sensed GPS and Map Data: a Hybrid Approach, | ||
38 | AGILE GIScience Ser., 3, 22, 2022. | 52 | AGILE GIScience Ser., 3, 22, 2022. | ||
39 | 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., | ||
40 | Lei, H., Zourlidou, S., Sester, M. (2022):__ Traffic Control | 54 | Lei, H., Zourlidou, S., Sester, M. (2022):__ Traffic Control | ||
41 | Recognition with an Attention Mechanism Using Speed-Profile and | 55 | Recognition with an Attention Mechanism Using Speed-Profile and | ||
42 | Satellite Imagery data. The International Archives of the | 56 | Satellite Imagery data. The International Archives of the | ||
43 | Photogrammetry, Remote Sensing and Spatial Information Sciences | 57 | Photogrammetry, Remote Sensing and Spatial Information Sciences | ||
44 | XLIII-B4-2022, S. 287\u201329. | 58 | XLIII-B4-2022, S. 287\u201329. | ||
45 | 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* | ||
46 | __Wang, C., Zourlidou, S., Golze, J. and Sester, M. (2020):__ | 60 | __Wang, C., Zourlidou, S., Golze, J. and Sester, M. (2020):__ | ||
47 | Trajectory analysis at intersections for traffic rule identification. | 61 | Trajectory analysis at intersections for traffic rule identification. | ||
48 | Geo-spatial Information Science, 11(4):1-10. | 62 | Geo-spatial Information Science, 11(4):1-10. | ||
49 | 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., | ||
50 | Zourlidou, S. and Sester, M. (2020):__ Traffic Control Recognition | 64 | Zourlidou, S. and Sester, M. (2020):__ Traffic Control Recognition | ||
51 | 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. | ||
52 | 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, | ||
53 | J., Zourlidou, S. and Sester, M. (2020):__ Traffic Regulator Detection | 67 | J., Zourlidou, S. and Sester, M. (2020):__ Traffic Regulator Detection | ||
54 | Using GPS Trajectories. KN J. Cartogr. Geogr. Inf. | 68 | Using GPS Trajectories. KN J. Cartogr. Geogr. Inf. | ||
55 | 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., | ||
56 | Fischer, C. and Sester, M. (2019):__ Classification of street | 70 | Fischer, C. and Sester, M. (2019):__ Classification of street | ||
57 | junctions according to traffic regulators. In: _Kyriakidis, P., | 71 | junctions according to traffic regulators. In: _Kyriakidis, P., | ||
58 | Hadjimitsis, D., Skarlatos, D. and Mansourian, A., (eds) 2019_. | 72 | Hadjimitsis, D., Skarlatos, D. and Mansourian, A., (eds) 2019_. | ||
59 | Accepted short papers and posters from the 22nd AGILE conference on | 73 | Accepted short papers and posters from the 22nd AGILE conference on | ||
60 | geo-information science. Cyprus University of Technology 17\u201320 | 74 | geo-information science. Cyprus University of Technology 17\u201320 | ||
61 | 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* | ||
62 | __Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: GPS | 76 | __Zourlidou, S., Golze, J. and Sester, M. (2022).__ Dataset: GPS | ||
63 | Trajectory Dataset of the Region of Hannover, Germany. | 77 | Trajectory Dataset of the Region of Hannover, Germany. | ||
64 | https://doi.org/10.25835/9bidqxvl\r\n\r\n* __Zourlidou, S., Golze, J. | 78 | https://doi.org/10.25835/9bidqxvl\r\n\r\n* __Zourlidou, S., Golze, J. | ||
65 | and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset and Traffic | 79 | and Sester, M. (2022).__ Dataset: GPS Trajectory Dataset and Traffic | ||
66 | Regulation Information of the Region of Edessa, Greece. | 80 | Regulation Information of the Region of Edessa, Greece. | ||
67 | 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. | ||
68 | and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth | 82 | and Sester, M. (2022).__ Dataset: Traffic Regulator Ground-truth | ||
69 | Information of the City of Hannover, Germany. | 83 | Information of the City of Hannover, Germany. | ||
70 | 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. | ||
71 | and Sester, M. (2020).__ Dataset: Speed profiles and GPS Trajectories | 85 | and Sester, M. (2020).__ Dataset: Speed profiles and GPS Trajectories | ||
72 | for Traffic Rule Recognition (6 Junctions, Hannover, Germany). | 86 | for Traffic Rule Recognition (6 Junctions, Hannover, Germany). | ||
73 | https://doi.org/10.25835/0043786", | 87 | https://doi.org/10.25835/0043786", | ||
74 | "num_resources": 10, | 88 | "num_resources": 10, | ||
75 | "num_tags": 4, | 89 | "num_tags": 4, | ||
76 | "organization": { | 90 | "organization": { | ||
77 | "approval_status": "approved", | 91 | "approval_status": "approved", | ||
78 | "created": "2021-10-14T10:15:58.271235", | 92 | "created": "2021-10-14T10:15:58.271235", | ||
79 | "description": "Appelstra\u00dfe 9 a, 30167 Hannover, | 93 | "description": "Appelstra\u00dfe 9 a, 30167 Hannover, | ||
80 | https://www.ikg.uni-hannover.de/", | 94 | https://www.ikg.uni-hannover.de/", | ||
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82 | "image_url": | 96 | "image_url": | ||
83 | ni-hannover.de/fileadmin/_processed_/a/0/csm_IKG_Logo_0680c1122c.png", | 97 | ni-hannover.de/fileadmin/_processed_/a/0/csm_IKG_Logo_0680c1122c.png", | ||
84 | "is_organization": true, | 98 | "is_organization": true, | ||
85 | "name": "institut-fur-kartographie-und-geoinformatik", | 99 | "name": "institut-fur-kartographie-und-geoinformatik", | ||
86 | "state": "active", | 100 | "state": "active", | ||
87 | "title": "Institut f\u00fcr Kartographie und Geoinformatik", | 101 | "title": "Institut f\u00fcr Kartographie und Geoinformatik", | ||
88 | "type": "organization" | 102 | "type": "organization" | ||
89 | }, | 103 | }, | ||
90 | "owner_org": "9828c497-59fd-47a6-a39f-e9eec9bb8a66", | 104 | "owner_org": "9828c497-59fd-47a6-a39f-e9eec9bb8a66", | ||
91 | "private": false, | 105 | "private": false, | ||
92 | "relationships_as_object": [], | 106 | "relationships_as_object": [], | ||
93 | "relationships_as_subject": [], | 107 | "relationships_as_subject": [], | ||
94 | "repository_name": "Leibniz University Hannover", | 108 | "repository_name": "Leibniz University Hannover", | ||
95 | "resources": [ | 109 | "resources": [ | ||
96 | { | 110 | { | ||
97 | "cache_last_updated": null, | 111 | "cache_last_updated": null, | ||
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99 | "created": "2022-02-10T10:44:32.929351", | 113 | "created": "2022-02-10T10:44:32.929351", | ||
100 | "description": "Contains the following information:\r\n- id | 114 | "description": "Contains the following information:\r\n- id | ||
101 | (gid),\r\n- coordinates in (utm_east, utm_north) and (lon, lat)\r\n- | 115 | (gid),\r\n- coordinates in (utm_east, utm_north) and (lon, lat)\r\n- | ||
102 | intersection id (junct_id)\r\n", | 116 | intersection id (junct_id)\r\n", | ||
103 | "format": "CSV", | 117 | "format": "CSV", | ||
104 | "hash": "", | 118 | "hash": "", | ||
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109 | "mimetype_inner": null, | 123 | "mimetype_inner": null, | ||
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114 | "size": 8826, | 128 | "size": 8826, | ||
115 | "state": "active", | 129 | "state": "active", | ||
116 | "url": | 130 | "url": | ||
117 | /65b4e260-b095-4f61-a64b-4425e2162794/download/chicago_junctions.csv", | 131 | /65b4e260-b095-4f61-a64b-4425e2162794/download/chicago_junctions.csv", | ||
118 | "url_type": "" | 132 | "url_type": "" | ||
119 | }, | 133 | }, | ||
120 | { | 134 | { | ||
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123 | "created": "2022-02-10T10:49:15.930937", | 137 | "created": "2022-02-10T10:49:15.930937", | ||
124 | "description": "Contains the following information:\r\n- | 138 | "description": "Contains the following information:\r\n- | ||
125 | coordinates (X,Y)\r\n- gid\r\n- traffic rule id (rule_id)\r\n- | 139 | coordinates (X,Y)\r\n- gid\r\n- traffic rule id (rule_id)\r\n- | ||
126 | intersection id (junct_id),\r\n- angle of intersection arm | 140 | intersection id (junct_id),\r\n- angle of intersection arm | ||
127 | (angle)\r\n- regulator type/rule (rule)\r\n", | 141 | (angle)\r\n- regulator type/rule (rule)\r\n", | ||
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