--- license: cc-by-4.0 task_categories: - robotics - visual-slam tags: - event-camera - drone-navigation - slam - ros - uav - vio pretty_name: Edged-USLAM Dataset (DAVIS346) size_categories: - 1GB-10GB --- # Edged-USLAM Dataset: Drone Navigation with Event Camera ### 🔗 Citation ```yaml @inproceedings{sariozkan2026edged, title={Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors}, author={Sarıözkan, Şebnem and Şahin, Hürkan and Álvarez-Tuñón, Olaya and Kayacan, Erdal}, booktitle={IEEE International Conference on Robotics and Automation (ICRA)}, year={2026} } ``` ### ℹ️ Extra Info [Project Page](https://sebnem-byte.github.io/edged-uslam.github.io/) This dataset contains synchronized **Event Camera (DAVIS346)**, **IMU**, and **Ground Truth (Motion Capture)** data recorded for the evaluation of **Edged-USLAM** The recordings include diverse motion profiles (aggressive 6-DoF, square, line trajectories) and challenging illumination conditions (Low-light, HDR, Dynamic Lighting). ## 📂 2. Dataset Structure The dataset is organized into three main folders. **Please pay attention to the Ground Truth topic** as it changes depending on the folder. ### **1. `motion/` (Motion Categories) ** * **Description:** Aggressive and distinct trajectory maneuvers. * **Sequences:** * `line.bag` * `square.bag` * `turner.bag` (Aggressive turning) * *(Other motion sequences like `circle`, `aggressive` are included here)* * **📍 Ground Truth Topic:** `/mavros/vision_pose/pose` ### **`filtered/`** * **Description:** Recorded with an **IR-filtered lens** attached to the DAVIS346. * **Effect:** Improves robustness under strong illumination but reduces sensitivity. * **Sequences:** Includes illumination variations (`low-lit`, `dynamic HDR`, `constant HDR`, `30% lit`, `60% lit`). * **📍 Ground Truth Topic:** `/local_pose_vicon/pose` ### **`unfiltered/`** * **Description:** Recorded with the **Default (non-filtered) lens**. * **Effect:** Preserves the original DAVIS346 response, including IR wavelengths. * **Sequences:** Includes illumination variations (`low-lit`, `dynamic HDR`, `constant HDR`, etc.) for spectral comparison. * **📍 Ground Truth Topic:** `/local_pose_vicon/pose` --- ### **2. `Illumination/` (Illumination Category) ** These folders contain identical flight paths recorded with different lens configurations to test photometric robustness. * **Focus:** Robustness against HDR, Low-light, and sudden lighting changes. * **Sequences included (in both folders):** * `low-lit` (< 5 Lux) * `30% lit` * `60% lit` * `dynamic HDR` (Blinking lights) * `constant HDR` (Strong side light/Sunlight) * **Folder Differences:** * **`filtered/`**: IR-filtered lens (Better for HDR, less sensitive in dark). * **`unfiltered/`**: Default lens (High sensitivity, includes IR spectrum). * **📍 Ground Truth Topic:** `/local_pose_vicon/pose` --- ## 📝 3. Notes * **Synchronization:** All sequences are timestamp-synchronized across topics. * **Ground Truth Frame:** In both cases, the pose provides 6-DoF UAV pose in the Vicon frame. * **Performance:** As shown in our paper (Table III), `motion` sequences test geometric robustness, while `filtered/unfiltered` sequences test photometric robustness under HDR and low-light. --- ## 📡 1. Sensor Topics | Topic | Type | Description | | :--- | :--- | :--- | | `/dvs/events` | Event Stream | DAVIS346 asynchronous events | | `/dvs/image_raw` | Image | Grayscale intensity frames (APS) | | `/dvs/imu` | IMU | Accelerometer + Gyroscope (200Hz) | | `/mavros/vision_pose/pose` | Pose | **GT for `motion/` folder** | | `/local_pose_vicon/pose` | Pose | **GT for `filtered/` & `unfiltered/` folders** | --- ## ⚙️ Calibration Parameters (DAVIS-IJRR17) **Camera Model:** Pinhole with Radial-Tangential Distortion **Resolution:** 346 x 260 ```yaml # Intrinsics fx: 254.6368 fy: 253.6548 cx: 168.9970 cy: 121.0141 # Distortion (Radial-Tangential) k1: -0.3755 k2: 0.1311 p1: 0.00137 p2: -0.00159 # Extrinsics (Camera to IMU/Body) # Translation (m): [0.0067, 0.0007, 0.0343] (approx 3.4cm offset in Z) # Rotation: Identity matrix ```