Microsoft Indoor Localization Competition 2018: Ground Truth and Error Visualizations

Ground truth measurements and error visualizations for each team from the Microsoft Indoor Localization Competition 2018. The dataset also includes a 3D point cloud of the evaluation area. It was compiled by Pierluigi Taddei of the European Commission.

Use Cases

• Benchmarking indoor localization algorithms based on the provided ground truth measurements.
• Analyzing error patterns and performance across different competition teams.
• Using the 3D point cloud of the evaluation area for simulation or environment modeling.

Strengths

• Includes detailed ground truth measurements, which are essential for reliable algorithm evaluation.
• Provides error visualizations for each competing team, enabling comparative analysis.
• Contains a 3D point cloud of the evaluation environment, offering spatial context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Microsoft Indoor Localization Competition (IPSN 2018), compiled by Pierluigi Taddei.

Collection Method

Likely collected during the competition evaluation phase.

Time Range

2018