CloudAnalyzer / Public Demo

Public LiDAR map inspection, browser-side, no custom backend.

This Pages build publishes a static ca web bundle generated from the public hdl_localization sample map. The demo keeps progressive loading, point picking, heatmap thresholding, and trajectory inspection active while serving only HTML and JSON.

Open Live Demo Open Repository

What This Shows

  • Progressive chunk loading on a static host.
  • Heatmap thresholding without a Python server.
  • Point picking with XYZ and nearest-reference distance.
  • Trajectory overlay and linked error timeline inspection.

Perception Batch Demo

Batch comparison of a geometry-first non-deep baseline and a higher-fidelity deep baseline on the same public RELLIS-3D LiDAR frame. Demonstrates ca batch --evaluate with AUC, Chamfer, inspection commands, and quality-gate status.

View Perception Report

Detection & Tracking Demo

3D object detection (mAP/AP) and multi-object tracking (MOTA/ID switches) evaluation on public RELLIS-3D-derived examples. Compares good and regressed candidates with quality gates.

View Detection & Tracking Report

Build It Locally

After installing the package, rebuild the public demo bundles with:

python scripts/build_public_demo.py --output docs/demo/hdl-localization-map python scripts/build_perception_demo.py --output docs/demo/perception python scripts/build_detection_tracking_demo.py --output docs/demo/detection-tracking

Data Note

Each demo ships with an attribution file generated next to the bundle. The map viewer uses the BSD-2-Clause `hdl_localization` sample map, while the checked-in perception report is derived from the public RELLIS-3D example bundle and carries its CC BY-NC-SA 3.0 attribution note. The perception candidates are deterministic demo baselines generated from the same public frame. The map viewer trajectories are synthetic demo trajectories generated by CloudAnalyzer.