Datasets:
Modalities:
Image
Languages:
English
Size:
100M<n<1B
Tags:
computer-vision
autonomous-driving
driver-attention
gaze-estimation
semantic-segmentation
dataset
License:
Update README.md
Browse files更新Tester1_feature_csv文件描述
README.md
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```
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## `Gaze_object_output/`
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This directory contains **gaze–object annotation files** for each scene.
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**File format**
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- `<scene_id>`: scene index (starting from 0)
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- Each row corresponds to one time step / frame
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---
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#### Gaze Target Information
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- `Stare_obj`: ID of the object being gazed at
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- `0` indicates background or no valid gaze target
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- `Stare_area`: coarse gaze region label on the screen
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The screen resolution is **5740 × 1010**, and gaze regions are defined as:
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| Label | Description | Region (pixels) |
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|------|-------------|-----------------|
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| `LF` | Left front view | `[0, 0] – [2870, 1010]` |
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| `MB` | Rear-view mirror | `[2890, 210] – [3540, 400]` |
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---
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#### Vehicle Screen Positions
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- `Car{i}_screen_X`, `Car{i}_screen_Y`: 2D screen-space coordinates of risk-relevant vehicles
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- Coordinates are aligned with the same frame as gaze annotations
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- Missing vehicles are filled with `0`
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-
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**Number of risk objects per frame**
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- For the **first 10 participants**, each frame contains up to **9 risk objects**
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- For the **remaining 20 participants**, scenes **5–9** contain **8 risk objects**
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- Columns are kept consistent across files; unused slots are zero-padded
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---
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These files jointly describe **where the driver is looking** and **where potential risk objects are located** on the screen at each time step, and are time-aligned with other modalities in the dataset.
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```
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## `Gaze_object_output/`
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This directory contains **gaze–object annotation files** for each scene.
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**File format**
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- `<scene_id>`: scene index (starting from 0)
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- Each row corresponds to one time step / frame
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---
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#### Gaze Target Information
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- `Stare_obj`: ID of the object being gazed at
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- `0` indicates background or no valid gaze target
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- `Stare_area`: coarse gaze region label on the screen
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The screen resolution is **5740 × 1010**, and gaze regions are defined as:
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| Label | Description | Region (pixels) |
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|------|-------------|-----------------|
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| `LF` | Left front view | `[0, 0] – [2870, 1010]` |
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| `MB` | Rear-view mirror | `[2890, 210] – [3540, 400]` |
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---
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#### Vehicle Screen Positions
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- `Car{i}_screen_X`, `Car{i}_screen_Y`: 2D screen-space coordinates of risk-relevant vehicles
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- Coordinates are aligned with the same frame as gaze annotations
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- Missing vehicles are filled with `0`
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**Number of risk objects per frame**
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- For the **first 10 participants**, each frame contains up to **9 risk objects**
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- For the **remaining 20 participants**, scenes **5–9** contain **8 risk objects**
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- Columns are kept consistent across files; unused slots are zero-padded
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---
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These files jointly describe **where the driver is looking** and **where potential risk objects are located** on the screen at each time step, and are time-aligned with other modalities in the dataset.
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## `Tester1_feature_csv/`
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This directory contains **per-frame driving state and scene feature files** for each scene.
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**File format**
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- `<scene_id>`: scene index (starting from 0)
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- Each row corresponds to one time step / frame
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- Rows are time-aligned with gaze annotations and instance segmentation outputs
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---
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#### Ego Vehicle and Driver State
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- `time`: timestamp (Unix time)
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- `steering`: steering wheel angle
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- `accelerator`: accelerator pedal value
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- `brake`: brake pedal value
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- `TOR_flag`: take-over request indicator
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- `Handchange_flag`: handover / control change indicator
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- `Collision_flag`: collision indicator (binary)
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---
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#### Ego Vehicle Position
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- `main_car_id`: ID of the ego vehicle
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- `main_car_x`, `main_car_y`: ego vehicle position in world coordinates
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---
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#### Surrounding Risk Object Features
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For each risk-relevant object in the scene, features are stored using indexed columns:
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- Object indices: `Car1` … `Car9`
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- Typical attributes include:
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- World-space position
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- Screen-space position (`Car{i}_screen_X`, `Car{i}_screen_Y`)
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- Additional kinematic or geometric features
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If a risk object is not present in a frame, its corresponding feature values are filled with `0`.
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---
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#### Gaze Point Projection
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- `ScreenPoint2D_x`, `ScreenPoint2D_y`: projected 2D gaze point on the screen, aligned with gaze annotations
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---
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These files provide **low-level driving signals, ego vehicle states, and scene-level object features**, and are intended to be used jointly with:
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- `Gaze_object_output/` (gaze–object annotations)
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- `Tester*_IS/` (instance segmentation outputs)
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