multisensor
MultiSensor-Home1A simple way to download the dataset:
# Make sure hf CLI is installed: pip install -U "huggingface_hub[cli]"
hf download thanhhff/MultiSensor-Home1 --repo-type=dataset --local-dir dataset/home1
The MultiSensor-Home2 dataset is available at: https://huggingface.co/datasets/thanhhff/MultiSensor-Home2/
MultiSensor-Home1: Benchmark for Multi-modal Multi-view Action Recognition in Home Environments
A wide-area multi-modal multi-view dataset for action recognition and… See the full description on the dataset page: https://huggingface.co/datasets/thanhhff/MultiSensor-Home1.MultiSensor-Home2A simple way to download the dataset:
# Make sure hf CLI is installed: pip install -U "huggingface_hub[cli]"
hf download thanhhff/MultiSensor-Home2 --repo-type=dataset --local-dir dataset/home2
The MultiSensor-Home1 dataset is available at: https://huggingface.co/datasets/thanhhff/MultiSensor-Home1/
MultiSensor-Home2: Benchmark for Multi-modal Multi-view Action Recognition in Home Environments
MultiSensor-Home2 is an extended version of MultiSensor-Home1, captured in a… See the full description on the dataset page: https://huggingface.co/datasets/thanhhff/MultiSensor-Home2.autonomous-driving-multisensor-coherence-baseline-modeling-v0.1What this dataset tests
Whether a system can model
the expected coherence of a sensor suite
for a given driving context.
The output is a baseline and tolerance band.
This is the reference for later decoherence detection.
Required outputs
baseline_coherence_score
expected_sensor_alignment
cross_modal_correlation
stability_band
drift_tolerance
baseline_confidence
Scoring conventions
all scores range 0 to 1
stability band is a low-high interval
drift tolerance encodes how much… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-multisensor-coherence-baseline-modeling-v0.1.Multisensor_RS_Datahumanoid-multisensor-navigation-dataset-v1Dataset for navigation using fused lidar, camera, and IMU signals.
Description
Multi-sensor perception inputs mapped to directional movement actions.
Task Description
Teaches humanoid robots to combine multiple sensors to navigate safely and choose correct motion directions.
Multi-Sensored