Hilti-Research2021cc-by-nc-sa-3.0
Hilti SLAM Challenge 2021
A multimodal robotics benchmark for evaluating simultaneous localization and mapping (SLAM) and sensor-fusion systems in realistic, difficult environments. It contains synchronized recordings from a handheld sensor rig captured in indoor and outdoor locations with practical SLAM challenges.
Downloads0
Episodes12
Why This Matters for Physical AI
This dataset provides critical benchmarks for evaluating SLAM and sensor-fusion algorithms under challenging real-world conditions, which are fundamental capabilities for autonomous robots to perceive and navigate their environments.
Technical Profile
- Modalities
- rgblidarimupoint_cloud
- Robot Embodiments
- handheld_sensor_rig
- Environment
- labofficebasementoutdoorcampusconstruction_siteparking_area
- Task Types
- slamsensor_fusionlocalizationmapping
- Episodes
- 12
- Data Format
- rosbag
- Annotation Types
- ground_truth_trajectoriescalibration_parameters
- License
- cc-by-nc-sa-3.0
Access
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