feat(perception): add lossless lidar replay v2

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DCCONSTRUCTIONS
2026-07-25 01:35:03 +03:00
parent 3f549f91f1
commit e4fdd9fa20
18 changed files with 2538 additions and 11 deletions
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@@ -7,6 +7,13 @@ successfully is not evidence that its LiDAR assumptions are satisfied. In
particular, the accepted E10 replay pack v1 has no intensity, and the current K1
stream is a vendor map increment rather than an unregistered sensor sweep.
`missioncore.lidar-replay-pack/v2` closes the field-retention gap without
rewriting v1. Its manifest binds exact raw/metadata evidence, logical point/pose
content, an immutable scanner-quality report and a source-vs-persisted
equivalence report. The React surface reads those reports through the read-only
`/api/v1/lidar/replay-packs` boundary; CUDA/TensorRT and ROS do not move into the
browser.
## Boundary
```text
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# LiDAR worker: product value, evidence boundary and implementation roadmap
Date: 2026-07-25
Status: accepted architecture plan; L0 contract implemented
Status: accepted architecture plan; L0 and L1 implemented
Scope: real scanner records, replay and future live shadow processing
Explicitly out of scope: Unreal U0/U1, Gaussian assets and simulator rendering
@@ -63,6 +63,12 @@ The executable truth is
`src/k1link/compute/lidar_contract.py`. It assesses each stage as `ready`,
`degraded` or `blocked` and refuses to infer absent sensor fields.
`missioncore.lidar-replay-pack/v2` is now the admitted field-retaining replay
input. It preserves raw integer XYZ, derived map XYZ, raw uint32 `rgbi`, its
verified intensity low byte, source/payload identity, header seq/stamp/scaler,
exact host epoch/monotonic receive times and the independent pose stream. Pack
v1 remains immutable for E10E26.
## 3. Current system result
The existing camera-heavy E10E26 line is valuable and remains in place:
@@ -156,21 +162,36 @@ memory, zero-copy or batching optimizations are accepted.
existing external worker report.
- [x] Keep authority diagnostic-only.
### L1 — lossless replay v2 and scanner quality
### L1 — lossless replay v2 and scanner quality — complete
- [ ] Create a new replay schema; do not rewrite pack v1.
- [ ] Preserve XYZ, intensity, source sequence/header stamp/scaler and exact
- [x] Create a new replay schema; do not rewrite pack v1.
- [x] Preserve XYZ, intensity, source sequence/header stamp/scaler and exact
host capture/receive times.
- [ ] Record explicitly absent ring, per-point time and IMU fields.
- [ ] Add bounded reports for frame gaps, arrival jitter, points/frame, range
distribution, intensity distribution and pose coverage.
- [ ] Compare live-vs-replay decoding byte-for-byte on a frozen slice.
- [ ] Publish the report to the React observation view without bundling a
- [x] Record explicitly absent ring, per-point time and IMU fields.
- [x] Add immutable reports for sequence gaps, arrival jitter, points/frame,
intensity distribution and pose coverage. Sensor-frame range remains
explicitly unavailable because the source is a vendor map increment.
- [x] Compare source native capture vs persisted replay fields byte-for-byte on
a frozen real slice.
- [x] Publish the report to the React observation view without bundling a
desktop renderer.
Exit: a recording cannot be called detector-ready when required fields were
dropped, and an operator can distinguish scanner dropout from model failure.
Accepted real slice:
- session `20260719T220917Z_viewer_live`;
- 66 point frames, 226,963 points and 70 pose frames;
- 24 arrays compared, zero mismatches, identical logical content SHA-256;
- pose coverage 100% at a 100 ms host-arrival gate;
- 3,439 mean points/frame;
- point-frame interval p50 80.4 ms, p95 186.6 ms and maximum 1,153.4 ms;
- intensity p50 248 and p95 255 on the verified `[0, 255]` low byte.
The long interval tail is evidence to investigate in the scanner/transport
quality line. It is not repaired or hidden by replay.
### L2 — geometric baseline
- [ ] Run Patchwork++ over the frozen XYZI slice.
@@ -45,7 +45,8 @@ be mistaken for geometric validity.
- Nvblox is blocked until the LiDAR scan geometry and timing/pose contract are
admitted.
- LiDAR odometry and LiDAR-inertial SLAM are blocked for current K1 evidence.
- L1 lossless replay and scanner-quality telemetry precede new model installs.
- L1 lossless replay and scanner-quality telemetry are implemented and precede
new model installs.
- Future scanners, simulation providers and datasets can use the same
readiness contract without being forced into K1-specific code.
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# ADR 0019: preserve LiDAR fields before detector evaluation
Date: 2026-07-25
Status: accepted and implemented
## Context
The accepted E10 LiDAR replay pack v1 is bound to the E10E26 result line. It
stores camera-selected map XYZ and pose but drops the verified intensity byte,
raw `rgbi`, raw integer coordinates, source header fields and exact host
timestamps. Mutating that schema would invalidate historical evidence while
still leaving detector and scanner-quality assumptions implicit.
Mission Core also needs one operator surface that can distinguish capture
quality from later model quality. A successful worker process or a visually
plausible point cloud is not that evidence.
## Decision
1. Add the separate immutable `missioncore.lidar-replay-pack/v2`; never rewrite
E10 replay pack v1.
2. Bind each v2 pack to the source raw capture and aligned metadata hashes.
3. Preserve point capture sequence, payload size, exact host epoch and
monotonic receive times, header seq/stamp/scaler, raw integer XYZ, derived
map XYZ, raw uint32 `rgbi` and its verified uint8 intensity low byte.
4. Preserve pose messages independently with their source/header/timing,
position, quaternion, distance and accuracy fields.
5. Hash the canonical logical arrays, not only the compressed NPZ bytes.
6. Re-decode the immutable source and compare all persisted arrays before a
pack is accepted. Any mismatch fails the pack.
7. Publish a separate hashed scanner-quality report: cadence, density,
intensity, sequence anomalies and nearest-pose coverage.
8. Expose only path-free, read-only catalog/detail responses to React.
9. Deduplicate superseded producers by logical content identity in the UI.
10. Keep command, navigation and safety authority false.
## Consequences
- PointPillars now has retained XYZI evidence for replay, but remains degraded
because K1 supplies vendor-mapped increments rather than admitted raw sweeps.
- Scanner/transport timing tails become visible before model tuning.
- Reprocessing can compare new worker/model generations against exactly the
same point and pose evidence.
- The browser displays qualification facts but never loads raw NPZ payloads or
runs GPU perception.
- Ring, per-point time, scan geometry and IMU remain explicitly absent.
- Nvblox, LiDAR odometry and LIO/SLAM remain blocked.
## Accepted real evidence
The first accepted real pack was built from
`20260719T220917Z_viewer_live`: 66 point frames, 226,963 points, 70 pose frames,
24 exact array comparisons and zero mismatches. Pose coverage was 100% at the
100 ms host-arrival threshold. Point-frame interval was p50 80.4 ms, p95
186.6 ms and maximum 1,153.4 ms.
## References
- `src/k1link/compute/lidar_replay.py`
- `src/k1link/web/lidar_api.py`
- `apps/control-station/src/workspaces/LidarQualityWorkspace.tsx`
- `docs/13_LIDAR_WORKER_PRODUCT_AND_ROADMAP.md`