Odom Dataset: Multi-Sensor ROSBag Data for Odometry and ToF Sensing

YangLiu1021's Odom Dataset is a multi-sensor ROS1 dataset for odometry research, ToF sensing, and inertial analysis. The dataset provides raw ROSBag files as the primary data source, with lightweight Parquet and YAML indexes for session and topic summaries. It was last updated on 2026-05-26.

Use Cases

• Odometry algorithm development based on multi-sensor ROS1 data.
• Time-of-Flight (ToF) sensor analysis and calibration using the provided sensor data.
• Inertial measurement unit (IMU) analysis for motion tracking and dead reckoning.
• Reproducible visualization and analysis using the referenced Foxglove Studio platform.

Strengths

• Provides raw ROSBag files as the primary data source for full-fidelity sensor streams.
• Includes lightweight Parquet and YAML indexes for inspecting the dataset before downloading large files.
• Supports reproducible visualization with Foxglove Studio, as mentioned in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file size, and specific file formats beyond ROSBag are unknown, which may limit suitability assessment.
• Last updated 2026-05-26 11:40:34; freshness should be verified.

Provenance

Source

YangLiu1021 on Hugging Face.

Collection Method

Multi-sensor data collection via ROS1, likely from robotic platforms.

Freshness

Last updated 2026-05-26 11:40:34.