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README.md
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@@ -20,15 +20,12 @@ A large self-driving dataset containing one-minute driving segments with road-ca
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## Dataset collection
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Segments were recorded by comma devices installed in real user vehicles. The collection spans several hardware generations
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- `uno`: comma two
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- `dos`: comma three
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- `tres`: comma 3X
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- `cuatro`: comma four
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Camera systems vary between generations, so native resolution and field of view are not uniform across the dataset.
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Each segment includes an offline localization estimate in `localizer.safetensors`. It fuses raw GNSS measurements, accelerometer and gyroscope data, vehicle motion constraints, and visual feature tracks from the road cameras.
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data/
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└── <segment_id>/
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├── fcamera.hevc
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├── ecamera.hevc (for segments collected using hardware type >=
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├── thumbnail.jpg
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└── localizer.safetensors
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```
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## Dataset collection
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Segments were recorded by comma devices installed in real user vehicles. The collection spans several hardware generations (comma two, comma three, comma 3X, and comma four)
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Camera systems vary between generations, so native resolution and field of view are not uniform across the dataset.
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Each segment includes an offline localization estimate in `localizer.safetensors`. It fuses raw GNSS measurements, accelerometer and gyroscope data, vehicle motion constraints, and visual feature tracks from the road cameras.
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data/
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└── <segment_id>/
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├── fcamera.hevc
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├── ecamera.hevc (for segments collected using hardware type >= comma three)
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├── thumbnail.jpg
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└── localizer.safetensors
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```
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