gladiator77372018CC BY 4.0
TUM VI
A visual-inertial dataset for SLAM and odometry evaluation, containing synchronized camera and IMU data collected across multiple indoor and outdoor environments with ground truth motion capture.
Downloads134
Episodes28
Why This Matters for Physical AI
This dataset is essential for benchmarking visual-inertial SLAM and odometry algorithms that are fundamental for autonomous robot navigation and localization in real-world environments.
Technical Profile
- Modalities
- rgbimu
- Environment
- labindooroutdoor
- Task Types
- slamvisual_inertial_odometry
- Episodes
- 28
- Data Format
- ROS
- Annotation Types
- ground_truth_trajectories
- License
- CC BY 4.0
Access
Need custom rgb data?
Claru builds purpose-built datasets for lab applications with dense human annotations and quality assurance.
Request a Sample Pack