tarunai-connect-cloudanalyzer

Automate point cloud QA by running configuration-driven quality gates that compare point clouds against baselines, returning metrics like Chamfer distance and F1 score as JSON outputs for autonomous systems workflows.

Point cloud comparison evaluates quality using metrics including Chamfer distance, F1 score, AUC, and Hausdorff distance to quantify differences against a reference file for mapping and localization pipelines.

Validate trajectory quality by automating trajectory evaluation workflows through a CLI interface, checking mapping and localization outputs against configurable quality gates to automate promotion or rejection decisions.

Yes, point cloud evaluation is driven by an agent-friendly CLI interface that returns JSON outputs, enabling seamless automation for quality assurance, session management, and baseline history tracking.

Manage point cloud baselines by defining configuration-driven quality gates that track baseline history, automatically comparing new point clouds against stored references to enforce QA promotion or rejection decisions.

Yes, you can downsample, filter, convert, inspect, and export point cloud data to process and visualize inputs, directly supporting mapping, localization, and perception QA workflows.