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Integrate NDT scan matching into Awkernel using a preloaded point cloud map and externally supplied initial pose estimates. Establish a reproducible baseline before integration with point cloud preprocessing and EKF localization.
Load a fixed point cloud map and construct the NDT map representation before processing scans
Accept sensor point clouds and an initial pose estimate for each scan
Define coordinate frames, transformations, timestamps, and required point fields
Configure NDT resolution, convergence criteria, and iteration limits
Expose the estimated pose, convergence status, and iteration count
Measure map preparation separately from per-scan execution time and memory usage
Acceptance criteria:
NDT scan matching runs on Awkernel with a fixed map and supplied initial pose estimates.
Estimated poses and convergence outcomes are compared against a fixed reference implementation using identical inputs, initial estimates, and parameters.
Numerical tolerances and expected behavior are defined before comparison.
Tests cover representative scans, perturbed initial estimates, empty or invalid inputs, and non-convergence.
Failed or non-converged results are explicitly reported rather than silently treated as valid estimates.
Evaluation datasets, configurations, and reproduction steps are documented.
Activity