dmpsuzuki commited on
Commit
e8e8d2a
·
1 Parent(s): b33b499

Update dataset

Browse files
.gitattributes CHANGED
@@ -62,3 +62,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md CHANGED
@@ -38,6 +38,14 @@ tags:
38
 
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  # Hard Intersection Multimodal Samples
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  ## Dataset Summary
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  Hard Intersection Multimodal Samples is a curated multimodal dataset of accident-prone urban intersection in Japan for autonomous driving research and development.
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  It provides multi-camera images, trajectory, HD maps, semantic annotations, point cloud data, and 3DGS assets.
@@ -65,7 +73,7 @@ The current release include the following intersection:
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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)
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  - Semantic annotations
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  - point cloud data
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  - 3DGS reconstruction assets
@@ -80,7 +88,7 @@ The current release include the following intersection:
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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
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  - LAS point clouds
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  ---
@@ -93,7 +101,7 @@ The current release include the following intersection:
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  - Trajectory data
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  #### Derived assets
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- - HD maps (OpenDRIVE/RoadRunner/Lanelet2/Vissim)
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  - Semantic image labels
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  - Semantic point clouds with labels
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  - 3DGS reconstruction assets
@@ -129,6 +137,7 @@ The HD map is provided in the format shown below.
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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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@@ -201,6 +210,9 @@ The HD map is provided in the format shown below.
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  - System Scale: Scaled beyond single objects to cover large-scale road networks through an integrated image and point cloud pipeline. Furthermore, when paired with our HDMap data, it functions as a "Metric 3DGS" capable of precise real-world physical dimensions and positioning.
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203
  ![3dgs](assets/3dgs.png)
 
 
 
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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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206
  ---
@@ -216,6 +228,7 @@ Dataset
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  │ ├─lanelet2
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  │ ├─opendrive
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  │ ├─roadrunnerhdmap
 
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  │ └─vissim
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  │ └─images
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  ├─pointcloud
 
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  # Hard Intersection Multimodal Samples
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+
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+ ## Release Notes
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+ |Release|Description|
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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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+
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+
49
  ## Dataset Summary
50
  Hard Intersection Multimodal Samples is a curated multimodal dataset of accident-prone urban intersection in Japan for autonomous driving research and development.
51
  It provides multi-camera images, trajectory, HD maps, semantic annotations, point cloud data, and 3DGS assets.
 
73
  - Six synchronized camera views
74
  - Two synchronized camera views
75
  - Trajectory data
76
+ - HD maps (OpenDRIVE/RoadRunner/Lanelet2/Vissim/Unreal Engine)
77
  - Semantic annotations
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  - point cloud data
79
  - 3DGS reconstruction assets
 
88
  - semantic projection domain
89
  - reconstruction domain
90
  - 360-degree coverage with six cameras
91
+ - Developer-friendly formats: OpenDRIVE/RoadRunner/Lanelet2/Vissim/Unreal Engine
92
  - LAS point clouds
93
 
94
  ---
 
101
  - Trajectory data
102
 
103
  #### Derived assets
104
+ - HD maps (OpenDRIVE/RoadRunner/Lanelet2/Vissim/Unreal Engine)
105
  - Semantic image labels
106
  - Semantic point clouds with labels
107
  - 3DGS reconstruction assets
 
137
  - **RoadRunner HD Map**
138
  - **Lanelet2**
139
  - **Vissim**
140
+ - **Unreal Engine**
141
 
142
  ---
143
 
 
210
  - System Scale: Scaled beyond single objects to cover large-scale road networks through an integrated image and point cloud pipeline. Furthermore, when paired with our HDMap data, it functions as a "Metric 3DGS" capable of precise real-world physical dimensions and positioning.
211
 
212
  ![3dgs](assets/3dgs.png)
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+
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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://www.youtube.com/watch?v=wYxM8x2NJ6U) or a [right-turn path](https://www.youtube.com/watch?v=YYFMDiJf0jY).
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+
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  [Please refer to the following viewer for 3DGS assets.](https://huggingface.co/spaces/dynamic-maps/hard-intersection-3dgs-sample)
217
 
218
  ---
 
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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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  │ └─images
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  ├─pointcloud
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