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  "author": "Steffen Busch, Christian Koetsier, Jeldrik Axmann",
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  "author": "Steffen Busch",
            
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  "author_email": "steffen.busch@ikg.uni-hannover.de",
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  "author_email": "steffen.busch@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/z54qcu1b",
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  "doi": "10.25835/z54qcu1b",
            
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  "doi_date_published": "2022-02-01",
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  "doi_date_published": "2022-02-01",
            
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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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    {
            
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      "extra_author": " Christian Koetsier"
            
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    },
            
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    {
            
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      "extra_author": " Jeldrik Axmann"
            
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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": "ff4c6be4-82e0-447e-b5f6-462c0b7281e9",
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  "id": "ff4c6be4-82e0-447e-b5f6-462c0b7281e9",
            
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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": "Steffen Busch",
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  "maintainer": "Steffen Busch",
            
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  "maintainer_email": "steffen.busch@ikg.uni-hannover.de",
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  "maintainer_email": "steffen.busch@ikg.uni-hannover.de",
            
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  "metadata_created": "2023-01-12T13:14:19.593265",
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  "metadata_created": "2023-01-12T13:14:19.593265",
            
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  "metadata_modified": "2023-08-04T08:46:38.004988",
            
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  "name": "luh-lumpi",
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  "name": "luh-lumpi",
            
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  "notes": "**NOTE: The full dataset will be released together with 
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  "notes": "**NOTE: The full dataset will be released together with 
            
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its corresponding publication soon.**\r\n\r\n##Abstract \r\nIncreasing 
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its corresponding publication soon.**\r\n\r\n##Abstract \r\nIncreasing 
            
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improvements in sensor technologies as well as machine learning 
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improvements in sensor technologies as well as machine learning 
            
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methods allow an efficient collection, processing and analysis of the 
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methods allow an efficient collection, processing and analysis of the 
            
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dynamic environment, which can be used for detection and tracking of 
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dynamic environment, which can be used for detection and tracking of 
            
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traffic participants. Current datasets in this domain mostly present a 
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traffic participants. Current datasets in this domain mostly present a 
            
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single view, preventing high accurate pose estimations by occlusions. 
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single view, preventing high accurate pose estimations by occlusions. 
            
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\r\nThe integration of different, simultaneously acquired data allows 
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\r\nThe integration of different, simultaneously acquired data allows 
            
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to exploit and develop collaboration principles to increase the 
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to exploit and develop collaboration principles to increase the 
            
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quality, reliability and integrity of the derived information.\r\nThis 
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quality, reliability and integrity of the derived information.\r\nThis 
            
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work addresses this problem by providing a multi-view dataset, 
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work addresses this problem by providing a multi-view dataset, 
            
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including 2D image information (videos) and 3D point clouds with 
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including 2D image information (videos) and 3D point clouds with 
            
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labels of the traffic participants in the scene. The dataset was 
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labels of the traffic participants in the scene. The dataset was 
            
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recorded during different weather and light conditions on several days 
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recorded during different weather and light conditions on several days 
            
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at a large junction in Hanover, Germany. 
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at a large junction in Hanover, Germany. 
            
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ew.png)](https://www.youtube.com/watch?v=elwFdCu5IFo)\r\n\r\n**Dataset 
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ew.png)](https://www.youtube.com/watch?v=elwFdCu5IFo)\r\n\r\n**Dataset 
            
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teaser video: ** https://youtu.be/elwFdCu5IFo\r\n\r\n**Dataset 
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teaser video: ** https://youtu.be/elwFdCu5IFo\r\n\r\n**Dataset 
            
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download path:** 
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download path:** 
            
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uni-hannover.de:8080/dataset/upload/users/ikg/busch/\r\n\r\n**Labeling 
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uni-hannover.de:8080/dataset/upload/users/ikg/busch/\r\n\r\n**Labeling 
            
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process pipeline:** 
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process pipeline:** 
            
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https://youtu.be/Ns6qsHsb06E\r\n\r\n##Citation\r\nIf you use LUMPI for 
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https://youtu.be/Ns6qsHsb06E\r\n\r\n##Citation\r\nIf you use LUMPI for 
            
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your work, please cite our paper:\r\n\r\n*Busch, Steffen, et al. 
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your work, please cite our paper:\r\n\r\n*Busch, Steffen, et al. 
            
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\"LUMPI: The Leibniz University Multi-Perspective Intersection 
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\"LUMPI: The Leibniz University Multi-Perspective Intersection 
            
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Dataset.\" 2022 IEEE Intelligent Vehicles Symposium (IV). IEEE, 
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Dataset.\" 2022 IEEE Intelligent Vehicles Symposium (IV). IEEE, 
            
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2022.\r\n\r\n    @inproceedings{busch2022lumpi,\r\n    title={LUMPI: 
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2022.\r\n\r\n    @inproceedings{busch2022lumpi,\r\n    title={LUMPI: 
            
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The Leibniz University Multi-Perspective Intersection Dataset},\r\n    
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The Leibniz University Multi-Perspective Intersection Dataset},\r\n    
            
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author={Busch, Steffen and Koetsier, Christian and Axmann, Jeldrik and 
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author={Busch, Steffen and Koetsier, Christian and Axmann, Jeldrik and 
            
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Brenner, Claus},\r\n    booktitle={2022 IEEE Intelligent Vehicles 
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Brenner, Claus},\r\n    booktitle={2022 IEEE Intelligent Vehicles 
            
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Symposium (IV)},\r\n    pages={1127--1134},\r\n    year={2022},\r\n    
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Symposium (IV)},\r\n    pages={1127--1134},\r\n    year={2022},\r\n    
            
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organization={IEEE}\r\n    }\r\n\r\n\r\n##Newsletter\r\nYou can 
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organization={IEEE}\r\n    }\r\n\r\n\r\n##Newsletter\r\nYou can 
            
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register for the newsletter if you want to be notified when new data 
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register for the newsletter if you want to be notified when new data 
            
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or labels are available: 
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or labels are available: 
            
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https://listserv.uni-hannover.de/cgi-bin/wa?SUBED1=LUMPI-IKG&A=1",
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https://listserv.uni-hannover.de/cgi-bin/wa?SUBED1=LUMPI-IKG&A=1",
            
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      "id": "c6c5ce14-cbe2-4f71-8f2e-edc5949aa27b",
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      "id": "c6c5ce14-cbe2-4f71-8f2e-edc5949aa27b",
            
171
      "name": "Mutli-Perspective",
180
      "name": "Mutli-Perspective",
            
172
      "state": "active",
181
      "state": "active",
            
173
      "vocabulary_id": null
182
      "vocabulary_id": null
            
174
    },
183
    },
            
175
    {
184
    {
            
176
      "display_name": "Tracking",
185
      "display_name": "Tracking",
            
177
      "id": "e11c47dc-870a-4a5f-99a0-464bb3697998",
186
      "id": "e11c47dc-870a-4a5f-99a0-464bb3697998",
            
178
      "name": "Tracking",
187
      "name": "Tracking",
            
179
      "state": "active",
188
      "state": "active",
            
180
      "vocabulary_id": null
189
      "vocabulary_id": null
            
181
    }
190
    }
            
182
  ],
191
  ],
            
183
  "terms_of_usage": "Yes",
192
  "terms_of_usage": "Yes",
            
184
  "title": "LUMPI: The Leibniz University Multi-Perspective 
193
  "title": "LUMPI: The Leibniz University Multi-Perspective 
            
185
Intersection Dataset",
194
Intersection Dataset",
            
186
  "type": "vdataset",
195
  "type": "vdataset",
            
187
  "url": "https://data.uni-hannover.de/dataset/lumpi",
196
  "url": "https://data.uni-hannover.de/dataset/lumpi",
            
188
  "version": ""
197
  "version": ""
            
189
}
198
}