Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -14,4 +14,69 @@ tags:
|
|
| 14 |
pretty_name: smapper-light
|
| 15 |
size_categories:
|
| 16 |
- 10B<n<100B
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
---
|
|
|
|
| 14 |
pretty_name: smapper-light
|
| 15 |
size_categories:
|
| 16 |
- 10B<n<100B
|
| 17 |
+
---
|
| 18 |
+
|
| 19 |
+
# 📂 SMapper-light Dataset
|
| 20 |
+
|
| 21 |
+
**SMapper-light** is a publicly available multimodal dataset collected using the **SMapper platform**, an open-hardware, multi-sensor device designed for **SLAM (Simultaneous Localization and Mapping)** research.
|
| 22 |
+
The dataset provides synchronized **LiDAR, multi-camera, and IMU measurements**, enabling benchmarking of **visual, LiDAR, and visual–inertial SLAM** methods.
|
| 23 |
+
|
| 24 |
+
---
|
| 25 |
+
|
| 26 |
+
## 🚀 Applications
|
| 27 |
+
|
| 28 |
+
SMapper-light can be used for:
|
| 29 |
+
- Benchmarking **LiDAR SLAM** frameworks (e.g., Fast-LIO, S-Graphs)
|
| 30 |
+
- Benchmarking **Visual SLAM** frameworks (e.g., ORB-SLAM3, vS-Graphs)
|
| 31 |
+
- Benchmarking **Multimodal SLAM** frameworks
|
| 32 |
+
|
| 33 |
+
---
|
| 34 |
+
|
| 35 |
+
## 📊 Dataset Overview
|
| 36 |
+
|
| 37 |
+
| Scenario | Instance | Duration | Size on Disk | Description |
|
| 38 |
+
|-----------|-------------------|----------------|--------------|------------------------------------|
|
| 39 |
+
| **Indoor** | `IN_SMALL_01` | 01 m 29 s | 5.7 GB | Confined single-room environment |
|
| 40 |
+
| | `IN_MULTI_01` | 06 m 46 s | 13.5 GB | Multi-room linear trajectory |
|
| 41 |
+
| | `IN_MULTI_02` | 07 m 07 s | 13.0 GB | Multi-room with loop closure |
|
| 42 |
+
| | `IN_LARGE_01` | 09 m 30 s | 57.9 GB | Large-scale indoor with loop closure |
|
| 43 |
+
| **Outdoor** | `OUT_CAMPUS_01` | 04 m 57 s | 36.4 GB | Urban campus linear path |
|
| 44 |
+
| | `OUT_CAMPUS_02` | 05 m 15 s | 37.8 GB | Urban campus circular path |
|
| 45 |
+
| **Total** | - | 35 m 04 s | 164.3 GB | |
|
| 46 |
+
|
| 47 |
+
If you want, I can also combine this with the supported topics list into a single clean README.md that’s ready to upload to HuggingFace. It would include dataset description, download info, usage, and sensor
|
| 48 |
+
|
| 49 |
+
### 📡 Available ROS 2 Topics
|
| 50 |
+
|
| 51 |
+
- **Front Left Camera**
|
| 52 |
+
- `/camera/front_left/camera_info`
|
| 53 |
+
- `/camera/front_left/image_raw`
|
| 54 |
+
- **Front Right Camera**
|
| 55 |
+
- `/camera/front_right/camera_info`
|
| 56 |
+
- `/camera/front_right/image_raw`
|
| 57 |
+
- **Side Left Camera**
|
| 58 |
+
- `/camera/side_left/camera_info`
|
| 59 |
+
- `/camera/side_left/image_raw`
|
| 60 |
+
- **Side Right Camera**
|
| 61 |
+
- `/camera/side_right/camera_info`
|
| 62 |
+
- `/camera/side_right/image_raw`
|
| 63 |
+
- **Intel RealSense D435i**
|
| 64 |
+
- `/camera/realsense/color/camera_info`
|
| 65 |
+
- `/camera/realsense/color/image_raw`
|
| 66 |
+
- `/camera/realsense/depth/camera_info`
|
| 67 |
+
- `/camera/realsense/aligned_depth_to_color/camera_info`
|
| 68 |
+
- `/camera/realsense/aligned_depth_to_color/image_raw`
|
| 69 |
+
- `/camera/realsense/imu`
|
| 70 |
+
- **Ouster LiDAR (OS0-128)**
|
| 71 |
+
- `/ouster/points`
|
| 72 |
+
- `/ouster/imu`
|
| 73 |
+
- **Transforms**
|
| 74 |
+
- `/tf_static`
|
| 75 |
+
|
| 76 |
+
---
|
| 77 |
+
|
| 78 |
+
## 🔗 Links
|
| 79 |
+
- 📄 [SMapper Device Documentation](https://snt-arg.github.io/smapper_docs/)
|
| 80 |
+
- ⚙️ [SMapper Toolbox](https://github.com/snt-arg/smapper_toolbox)
|
| 81 |
+
|
| 82 |
---
|