Changes
On December 16, 2024 at 6:00:44 PM UTC,
admin:
-
Changed value of field
doi_status
toTrue
in KITTI-360 -
Changed value of field
doi_date_published
to2024-12-16
in KITTI-360 -
Added resource Original Metadata to KITTI-360
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| 3 | "author": "Y. Liao", | 3 | "author": "Y. Liao", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| 6 | "https://doi.org/10.48550/arXiv.2305.16914", | 6 | "https://doi.org/10.48550/arXiv.2305.16914", | ||
| 7 | "https://doi.org/10.48550/arXiv.2208.09777", | 7 | "https://doi.org/10.48550/arXiv.2208.09777", | ||
| 8 | "https://doi.org/10.48550/arXiv.2407.02945", | 8 | "https://doi.org/10.48550/arXiv.2407.02945", | ||
| 9 | "https://doi.org/10.48550/arXiv.2306.03810", | 9 | "https://doi.org/10.48550/arXiv.2306.03810", | ||
| 10 | "https://doi.org/10.48550/arXiv.2310.07237", | 10 | "https://doi.org/10.48550/arXiv.2310.07237", | ||
| 11 | "https://doi.org/10.48550/arXiv.2403.11577", | 11 | "https://doi.org/10.48550/arXiv.2403.11577", | ||
| 12 | "https://doi.org/10.48550/arXiv.2403.05907", | 12 | "https://doi.org/10.48550/arXiv.2403.05907", | ||
| 13 | "https://doi.org/10.1109/IROS55552.2023.10342427", | 13 | "https://doi.org/10.1109/IROS55552.2023.10342427", | ||
| 14 | "https://doi.org/10.48550/arXiv.2403.02037", | 14 | "https://doi.org/10.48550/arXiv.2403.02037", | ||
| 15 | "https://doi.org/10.48550/arXiv.2310.08755" | 15 | "https://doi.org/10.48550/arXiv.2310.08755" | ||
| 16 | ], | 16 | ], | ||
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| 24 | "extra_authors": [ | 24 | "extra_authors": [ | ||
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| 26 | "extra_author": "J. Xie", | 26 | "extra_author": "J. Xie", | ||
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| 29 | { | 29 | { | ||
| 30 | "extra_author": "A. Geiger", | 30 | "extra_author": "A. Geiger", | ||
| 31 | "orcid": "" | 31 | "orcid": "" | ||
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| 37 | "display_name": "2D and 3D Scene Understanding", | 37 | "display_name": "2D and 3D Scene Understanding", | ||
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| 41 | "title": "2D and 3D Scene Understanding" | 41 | "title": "2D and 3D Scene Understanding" | ||
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| 48 | "name": "3d-object-detection", | 48 | "name": "3d-object-detection", | ||
| 49 | "title": "3D Object Detection" | 49 | "title": "3D Object Detection" | ||
| 50 | }, | 50 | }, | ||
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| 56 | "name": "3d-reconstruction", | 56 | "name": "3d-reconstruction", | ||
| 57 | "title": "3D Reconstruction" | 57 | "title": "3D Reconstruction" | ||
| 58 | }, | 58 | }, | ||
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| 60 | "description": "", | 60 | "description": "", | ||
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| 63 | "image_display_url": "", | 63 | "image_display_url": "", | ||
| 64 | "name": "autonomous-driving", | 64 | "name": "autonomous-driving", | ||
| 65 | "title": "Autonomous driving" | 65 | "title": "Autonomous driving" | ||
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| 72 | "name": "computer-vision", | 72 | "name": "computer-vision", | ||
| 73 | "title": "Computer Vision" | 73 | "title": "Computer Vision" | ||
| 74 | }, | 74 | }, | ||
| 75 | { | 75 | { | ||
| 76 | "description": "", | 76 | "description": "", | ||
| 77 | "display_name": "Depth Estimation", | 77 | "display_name": "Depth Estimation", | ||
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| 81 | "title": "Depth Estimation" | 81 | "title": "Depth Estimation" | ||
| 82 | }, | 82 | }, | ||
| 83 | { | 83 | { | ||
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| 85 | "display_name": "Driving Scenario", | 85 | "display_name": "Driving Scenario", | ||
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| 87 | "image_display_url": "", | 87 | "image_display_url": "", | ||
| 88 | "name": "driving-scenario", | 88 | "name": "driving-scenario", | ||
| 89 | "title": "Driving Scenario" | 89 | "title": "Driving Scenario" | ||
| 90 | }, | 90 | }, | ||
| 91 | { | 91 | { | ||
| 92 | "description": "", | 92 | "description": "", | ||
| 93 | "display_name": "Point Cloud Upsampling", | 93 | "display_name": "Point Cloud Upsampling", | ||
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| 95 | "image_display_url": "", | 95 | "image_display_url": "", | ||
| 96 | "name": "point-cloud-upsampling", | 96 | "name": "point-cloud-upsampling", | ||
| 97 | "title": "Point Cloud Upsampling" | 97 | "title": "Point Cloud Upsampling" | ||
| 98 | }, | 98 | }, | ||
| 99 | { | 99 | { | ||
| 100 | "description": "", | 100 | "description": "", | ||
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| 105 | "title": "Urban scene understanding" | 105 | "title": "Urban scene understanding" | ||
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| 109 | "display_name": "Visual-LiDAR SLAM", | 109 | "display_name": "Visual-LiDAR SLAM", | ||
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| 111 | "image_display_url": "", | 111 | "image_display_url": "", | ||
| 112 | "name": "visual-lidar-slam", | 112 | "name": "visual-lidar-slam", | ||
| 113 | "title": "Visual-LiDAR SLAM" | 113 | "title": "Visual-LiDAR SLAM" | ||
| 114 | } | 114 | } | ||
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| 118 | "landing_page": "https://www.kitti-360.org/", | 118 | "landing_page": "https://www.kitti-360.org/", | ||
| 119 | "license_title": null, | 119 | "license_title": null, | ||
| 120 | "link_orkg": "", | 120 | "link_orkg": "", | ||
| 121 | "metadata_created": "2024-12-16T18:00:42.597864", | 121 | "metadata_created": "2024-12-16T18:00:42.597864", | ||
| n | 122 | "metadata_modified": "2024-12-16T18:00:42.597871", | n | 122 | "metadata_modified": "2024-12-16T18:00:43.065974", |
| 123 | "name": "kitti-360", | 123 | "name": "kitti-360", | ||
| 124 | "notes": "The KITTI-360 dataset is a large-scale benchmark for | 124 | "notes": "The KITTI-360 dataset is a large-scale benchmark for | ||
| 125 | autonomous driving, containing 83,000 annotated frames, including data | 125 | autonomous driving, containing 83,000 annotated frames, including data | ||
| 126 | collected using two fish-eye cameras and a perspective stereo | 126 | collected using two fish-eye cameras and a perspective stereo | ||
| 127 | camera.", | 127 | camera.", | ||
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| 131 | "approval_status": "approved", | 131 | "approval_status": "approved", | ||
| 132 | "created": "2024-11-25T12:11:38.292601", | 132 | "created": "2024-11-25T12:11:38.292601", | ||
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| 139 | "title": "No Organization", | 139 | "title": "No Organization", | ||
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| 165 | "mls:task", | ||||
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| 178 | { | 219 | { | ||
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| 192 | { | 233 | { | ||
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| 197 | "vocabulary_id": null | 238 | "vocabulary_id": null | ||
| 198 | }, | 239 | }, | ||
| 199 | { | 240 | { | ||
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| 206 | { | 247 | { | ||
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| 211 | "vocabulary_id": null | 252 | "vocabulary_id": null | ||
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| 213 | { | 254 | { | ||
| 214 | "display_name": "KITTI", | 255 | "display_name": "KITTI", | ||
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| 218 | "vocabulary_id": null | 259 | "vocabulary_id": null | ||
| 219 | }, | 260 | }, | ||
| 220 | { | 261 | { | ||
| 221 | "display_name": "KITTI Dataset", | 262 | "display_name": "KITTI Dataset", | ||
| 222 | "id": "263ad2bd-0492-430b-83d0-07318fdb5e9c", | 263 | "id": "263ad2bd-0492-430b-83d0-07318fdb5e9c", | ||
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| 227 | { | 268 | { | ||
| 228 | "display_name": "KITTI-360", | 269 | "display_name": "KITTI-360", | ||
| 229 | "id": "bdf4d0ac-a0c3-4ea2-817a-13d2cb718e75", | 270 | "id": "bdf4d0ac-a0c3-4ea2-817a-13d2cb718e75", | ||
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| 239 | "vocabulary_id": null | 280 | "vocabulary_id": null | ||
| 240 | }, | 281 | }, | ||
| 241 | { | 282 | { | ||
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| 243 | "id": "e917c6b2-e9b0-4a0e-b162-5e5d831c291d", | 284 | "id": "e917c6b2-e9b0-4a0e-b162-5e5d831c291d", | ||
| 244 | "name": "Multimodal Sensor Calibration", | 285 | "name": "Multimodal Sensor Calibration", | ||
| 245 | "state": "active", | 286 | "state": "active", | ||
| 246 | "vocabulary_id": null | 287 | "vocabulary_id": null | ||
| 247 | }, | 288 | }, | ||
| 248 | { | 289 | { | ||
| 249 | "display_name": "NeRF", | 290 | "display_name": "NeRF", | ||
| 250 | "id": "27b5e6d0-f1d8-4a2e-aa9c-3c18a36c4f20", | 291 | "id": "27b5e6d0-f1d8-4a2e-aa9c-3c18a36c4f20", | ||
| 251 | "name": "NeRF", | 292 | "name": "NeRF", | ||
| 252 | "state": "active", | 293 | "state": "active", | ||
| 253 | "vocabulary_id": null | 294 | "vocabulary_id": null | ||
| 254 | }, | 295 | }, | ||
| 255 | { | 296 | { | ||
| 256 | "display_name": "Spatiotemporal Calibration", | 297 | "display_name": "Spatiotemporal Calibration", | ||
| 257 | "id": "14e8b733-ed63-4c2c-8c1a-21cb672ae0a2", | 298 | "id": "14e8b733-ed63-4c2c-8c1a-21cb672ae0a2", | ||
| 258 | "name": "Spatiotemporal Calibration", | 299 | "name": "Spatiotemporal Calibration", | ||
| 259 | "state": "active", | 300 | "state": "active", | ||
| 260 | "vocabulary_id": null | 301 | "vocabulary_id": null | ||
| 261 | }, | 302 | }, | ||
| 262 | { | 303 | { | ||
| 263 | "display_name": "Urban Scene Understanding", | 304 | "display_name": "Urban Scene Understanding", | ||
| 264 | "id": "5722d073-797c-442b-a53f-1e3e29afeba4", | 305 | "id": "5722d073-797c-442b-a53f-1e3e29afeba4", | ||
| 265 | "name": "Urban Scene Understanding", | 306 | "name": "Urban Scene Understanding", | ||
| 266 | "state": "active", | 307 | "state": "active", | ||
| 267 | "vocabulary_id": null | 308 | "vocabulary_id": null | ||
| 268 | }, | 309 | }, | ||
| 269 | { | 310 | { | ||
| 270 | "display_name": "Visual-LiDAR SLAM", | 311 | "display_name": "Visual-LiDAR SLAM", | ||
| 271 | "id": "bf652f91-7943-4eab-a374-bd1395c3628b", | 312 | "id": "bf652f91-7943-4eab-a374-bd1395c3628b", | ||
| 272 | "name": "Visual-LiDAR SLAM", | 313 | "name": "Visual-LiDAR SLAM", | ||
| 273 | "state": "active", | 314 | "state": "active", | ||
| 274 | "vocabulary_id": null | 315 | "vocabulary_id": null | ||
| 275 | }, | 316 | }, | ||
| 276 | { | 317 | { | ||
| 277 | "display_name": "autonomous driving", | 318 | "display_name": "autonomous driving", | ||
| 278 | "id": "cdfd1201-895a-4c64-a803-f21348672860", | 319 | "id": "cdfd1201-895a-4c64-a803-f21348672860", | ||
| 279 | "name": "autonomous driving", | 320 | "name": "autonomous driving", | ||
| 280 | "state": "active", | 321 | "state": "active", | ||
| 281 | "vocabulary_id": null | 322 | "vocabulary_id": null | ||
| 282 | }, | 323 | }, | ||
| 283 | { | 324 | { | ||
| 284 | "display_name": "computer vision", | 325 | "display_name": "computer vision", | ||
| 285 | "id": "f650b4e3-9955-49b0-ba7b-2d302a990978", | 326 | "id": "f650b4e3-9955-49b0-ba7b-2d302a990978", | ||
| 286 | "name": "computer vision", | 327 | "name": "computer vision", | ||
| 287 | "state": "active", | 328 | "state": "active", | ||
| 288 | "vocabulary_id": null | 329 | "vocabulary_id": null | ||
| 289 | }, | 330 | }, | ||
| 290 | { | 331 | { | ||
| 291 | "display_name": "dataset", | 332 | "display_name": "dataset", | ||
| 292 | "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b", | 333 | "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b", | ||
| 293 | "name": "dataset", | 334 | "name": "dataset", | ||
| 294 | "state": "active", | 335 | "state": "active", | ||
| 295 | "vocabulary_id": null | 336 | "vocabulary_id": null | ||
| 296 | }, | 337 | }, | ||
| 297 | { | 338 | { | ||
| 298 | "display_name": "depth prediction", | 339 | "display_name": "depth prediction", | ||
| 299 | "id": "78ccd3fd-c20c-4a8d-85f8-ed65b3d11f86", | 340 | "id": "78ccd3fd-c20c-4a8d-85f8-ed65b3d11f86", | ||
| 300 | "name": "depth prediction", | 341 | "name": "depth prediction", | ||
| 301 | "state": "active", | 342 | "state": "active", | ||
| 302 | "vocabulary_id": null | 343 | "vocabulary_id": null | ||
| 303 | }, | 344 | }, | ||
| 304 | { | 345 | { | ||
| 305 | "display_name": "image processing", | 346 | "display_name": "image processing", | ||
| 306 | "id": "12b6291b-2e80-4736-935f-cc942880df77", | 347 | "id": "12b6291b-2e80-4736-935f-cc942880df77", | ||
| 307 | "name": "image processing", | 348 | "name": "image processing", | ||
| 308 | "state": "active", | 349 | "state": "active", | ||
| 309 | "vocabulary_id": null | 350 | "vocabulary_id": null | ||
| 310 | }, | 351 | }, | ||
| 311 | { | 352 | { | ||
| 312 | "display_name": "monocular depth estimation", | 353 | "display_name": "monocular depth estimation", | ||
| 313 | "id": "b343d8bd-6834-4c6b-a622-fa7a08feacfd", | 354 | "id": "b343d8bd-6834-4c6b-a622-fa7a08feacfd", | ||
| 314 | "name": "monocular depth estimation", | 355 | "name": "monocular depth estimation", | ||
| 315 | "state": "active", | 356 | "state": "active", | ||
| 316 | "vocabulary_id": null | 357 | "vocabulary_id": null | ||
| 317 | }, | 358 | }, | ||
| 318 | { | 359 | { | ||
| 319 | "display_name": "point cloud", | 360 | "display_name": "point cloud", | ||
| 320 | "id": "fcb968fe-38b8-4b04-a049-e69bcf7b9f19", | 361 | "id": "fcb968fe-38b8-4b04-a049-e69bcf7b9f19", | ||
| 321 | "name": "point cloud", | 362 | "name": "point cloud", | ||
| 322 | "state": "active", | 363 | "state": "active", | ||
| 323 | "vocabulary_id": null | 364 | "vocabulary_id": null | ||
| 324 | }, | 365 | }, | ||
| 325 | { | 366 | { | ||
| 326 | "display_name": "point cloud upsampling", | 367 | "display_name": "point cloud upsampling", | ||
| 327 | "id": "35b98cb3-89e1-44ac-ab6f-7954158b5dc8", | 368 | "id": "35b98cb3-89e1-44ac-ab6f-7954158b5dc8", | ||
| 328 | "name": "point cloud upsampling", | 369 | "name": "point cloud upsampling", | ||
| 329 | "state": "active", | 370 | "state": "active", | ||
| 330 | "vocabulary_id": null | 371 | "vocabulary_id": null | ||
| 331 | }, | 372 | }, | ||
| 332 | { | 373 | { | ||
| 333 | "display_name": "urban scene", | 374 | "display_name": "urban scene", | ||
| 334 | "id": "a3efadff-4336-4a0e-9057-1a47fa83b254", | 375 | "id": "a3efadff-4336-4a0e-9057-1a47fa83b254", | ||
| 335 | "name": "urban scene", | 376 | "name": "urban scene", | ||
| 336 | "state": "active", | 377 | "state": "active", | ||
| 337 | "vocabulary_id": null | 378 | "vocabulary_id": null | ||
| 338 | }, | 379 | }, | ||
| 339 | { | 380 | { | ||
| 340 | "display_name": "urban scene reconstruction", | 381 | "display_name": "urban scene reconstruction", | ||
| 341 | "id": "817ea3d6-de86-420c-a8c3-1ff231691ed2", | 382 | "id": "817ea3d6-de86-420c-a8c3-1ff231691ed2", | ||
| 342 | "name": "urban scene reconstruction", | 383 | "name": "urban scene reconstruction", | ||
| 343 | "state": "active", | 384 | "state": "active", | ||
| 344 | "vocabulary_id": null | 385 | "vocabulary_id": null | ||
| 345 | }, | 386 | }, | ||
| 346 | { | 387 | { | ||
| 347 | "display_name": "urban scene understanding", | 388 | "display_name": "urban scene understanding", | ||
| 348 | "id": "75efbe43-3b7b-41bf-8983-b6fc5cb0b569", | 389 | "id": "75efbe43-3b7b-41bf-8983-b6fc5cb0b569", | ||
| 349 | "name": "urban scene understanding", | 390 | "name": "urban scene understanding", | ||
| 350 | "state": "active", | 391 | "state": "active", | ||
| 351 | "vocabulary_id": null | 392 | "vocabulary_id": null | ||
| 352 | } | 393 | } | ||
| 353 | ], | 394 | ], | ||
| 354 | "title": "KITTI-360", | 395 | "title": "KITTI-360", | ||
| 355 | "type": "dataset", | 396 | "type": "dataset", | ||
| 356 | "version": "" | 397 | "version": "" | ||
| 357 | } | 398 | } |