Datasets:
Update dataset
Browse files- README.md +18 -14
- assets/jp_tokyo_takanawadai-lod.rad +2 -2
- assets/opencrg.png +3 -0
- maps/opendrive/crg/segment_10_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_12_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_13_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_16_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_17_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_18_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_19_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_1_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_20_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_21_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_23_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_24_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_25_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_27_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_2_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_30_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_33_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_38_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_3_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_42_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_54_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_56_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_58_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_68_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_72_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_7_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_80_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_81_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_86_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_89_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_8_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/crg/segment_92_u0p20_v0p20_min.crg +0 -0
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- maps/opendrive/crg/segment_9_u0p20_v0p20_min.crg +0 -0
- maps/opendrive/jp_tokyo_takanawadai_odf1_4_with_crg.xodr +0 -0
- maps/opendrive/jp_tokyo_takanawadai_odf1_6_with_crg.xodr +0 -0
- maps/opendrive/jp_tokyo_takanawadai_odf1_8_with_crg.xodr +0 -0
- reconstruction/jp_tokyo_takanawadai.ply +2 -2
README.md
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|v1.0.0|Initial public release.|
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|v1.1.0|Added Unreal Engine assets.<br>Fixed issues in the OpenDRIVE map data.<br>Updated the README to improve documentation and usability.|
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## Dataset Summary
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- Six synchronized camera views
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- Two synchronized camera views
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- Trajectory data
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- HD maps (OpenDRIVE/RoadRunner/Lanelet2/Vissim/Unreal Engine)
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- Semantic annotations
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- point cloud data
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- 3DGS reconstruction assets
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- semantic projection domain
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- reconstruction domain
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- 360-degree coverage with six cameras
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- Developer-friendly formats: OpenDRIVE/RoadRunner/Lanelet2/Vissim/Unreal Engine
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- LAS point clouds
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---
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- Trajectory data
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#### Derived assets
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- HD maps (OpenDRIVE/RoadRunner/Lanelet2/Vissim/Unreal Engine)
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- Semantic image labels
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- Semantic point clouds with labels
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- 3DGS reconstruction assets
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---
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### HD Map Formats
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The HD map is provided in the format shown below.
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- **OpenDRIVE(Ver1.4/1.6/1.8)**
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- **RoadRunner HD Map**
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- **Lanelet2**
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- **Vissim**
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---
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### Point Cloud Data
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- Provided in LAS format
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- Multi-run aggregated (not single-frame LiDAR)
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By generating 3DGS assets, it is possible to create videos or images by providing trajectories, such as a [straight path](https://
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[Please refer to the following viewer for 3DGS assets.](https://huggingface.co/spaces/dynamic-maps/hard-intersection-3dgs-sample)
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├─maps
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│ ├─lanelet2
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│ ├─opendrive
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│ ├─roadrunnerhdmap
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│ ├─unrealengine
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│ └─vissim
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License: Apache License 2.0
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https://github.com/IDEA-Research/GroundingDINO
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- **OneFormer**
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Jain et al., SHI-Labs, CVPR 2023
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License: MIT License
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https://github.com/SHI-Labs/OneFormer
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- **ViTMatte**
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Yao et al., HUST Vision Lab, Information Fusion 2024
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License: Apache License 2.0
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License: Apache License 2.0
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https://huggingface.co/IDEA-Research/grounding-dino-base
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- **OneFormer Cityscapes Swin-L**
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SHI-Labs
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License: MIT License
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https://huggingface.co/shi-labs/oneformer_cityscapes_swin_large
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- **ViTMatte Base (Distinctions-646)**
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HUST Vision Lab
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License: Apache License 2.0
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|-|-|
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|v1.0.0|Initial public release.|
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|v1.1.0|Added Unreal Engine assets.<br>Fixed issues in the OpenDRIVE map data.<br>Updated the README to improve documentation and usability.|
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|v1.2.0|Added OpenCRG road surface elevation data.<br>Updated 3DGS reconstruction assets.<br>Updated the README to document OpenCRG support.<br>|
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## Dataset Summary
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- Six synchronized camera views
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- Two synchronized camera views
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- Trajectory data
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- HD maps (OpenDRIVE+OpenCRG/RoadRunner/Lanelet2/Vissim/Unreal Engine)
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- Semantic annotations
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- point cloud data
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- 3DGS reconstruction assets
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- semantic projection domain
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- reconstruction domain
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- 360-degree coverage with six cameras
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- Developer-friendly formats: OpenDRIVE+OpenCRG/RoadRunner/Lanelet2/Vissim/Unreal Engine
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- LAS point clouds
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---
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- Trajectory data
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#### Derived assets
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- HD maps (OpenDRIVE+OpenCRG/RoadRunner/Lanelet2/Vissim/Unreal Engine)
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- Semantic image labels
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- Semantic point clouds with labels
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- 3DGS reconstruction assets
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---
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### HD Map Formats
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+
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The HD map is provided in the format shown below.
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- **OpenDRIVE(Ver1.4/1.6/1.8)**
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- **OpenDRIVE(Ver1.4/1.6/1.8) + OpenCRG**
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- **RoadRunner HD Map**
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- **Lanelet2**
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- **Vissim**
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---
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### OpenCRG
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OpenCRG road surface elevation data is provided.
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The data contains road surface height information (z(u,v)) derived from high-precision MMS measurements and can be used together with OpenDRIVE.
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---
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### Point Cloud Data
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- Provided in LAS format
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- Multi-run aggregated (not single-frame LiDAR)
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By generating 3DGS assets, it is possible to create videos or images by providing trajectories, such as a [straight path](https://youtu.be/wLVq0r28MmQ) or a [right-turn path](https://youtu.be/ZNdhgmF8uLI).
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[Please refer to the following viewer for 3DGS assets.](https://huggingface.co/spaces/dynamic-maps/hard-intersection-3dgs-sample)
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├─maps
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│ ├─lanelet2
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│ ├─opendrive
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│ │ └─opencrg
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│ ├─roadrunnerhdmap
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│ ├─unrealengine
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│ └─vissim
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License: Apache License 2.0
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https://github.com/IDEA-Research/GroundingDINO
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- **ViTMatte**
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Yao et al., HUST Vision Lab, Information Fusion 2024
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License: Apache License 2.0
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License: Apache License 2.0
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https://huggingface.co/IDEA-Research/grounding-dino-base
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- **ViTMatte Base (Distinctions-646)**
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HUST Vision Lab
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License: Apache License 2.0
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assets/jp_tokyo_takanawadai-lod.rad
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assets/opencrg.png
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reconstruction/jp_tokyo_takanawadai.ply
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version https://git-lfs.github.com/spec/v1
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size 3119967004
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