pith:ZXRVF237
SODA-CitrON: Static Object Data Association by Clustering Multi-Modal Sensor Detections Online
SODA-CitrON clusters multi-modal detections online to associate and track static objects without motion models or known counts.
arxiv:2602.22243 v3 · 2026-02-24 · cs.RO
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Claims
The results demonstrate that SODA-CitrON consistently outperforms the compared methods in terms of F1 score, position RMSE, MOTP, and MOTA in the static object mapping scenarios studied.
The Monte Carlo simulation scenarios used for evaluation are representative of real-world conditions involving temporally uncorrelated, multi-sensor measurements with heterogeneous uncertainties.
SODA-CitrON performs online clustering of heterogeneous sensor detections to associate and track static objects, outperforming JPDA, DBSTREAM, and POM-based methods on F1 score, position RMSE, MOTP, and MOTA in Monte Carlo simulations.
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| First computed | 2026-06-09T02:07:22.058181Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cde352eb7f2f77906f5163d333388442345914b1c8be78f12cad9fe51d1b6d35
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZXRVF237F53ZA32RMPJTGOEEII \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: cde352eb7f2f77906f5163d333388442345914b1c8be78f12cad9fe51d1b6d35
Canonical record JSON
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