pith:7DC4JOQO
PROBE: Probabilistic Occupancy BEV Encoding with Analytical Translation Robustness for 3D Place Recognition
PROBE encodes LiDAR bird's-eye-view grids as Bernoulli occupancy variables and marginalizes continuous translations analytically to achieve translation-robust place recognition without learning.
arxiv:2603.05965 v3 · 2026-03-06 · cs.RO · cs.CV
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\pithnumber{7DC4JOQOHOJSKSW6SV5U7FRKXU}
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Record completeness
Claims
PROBE achieves the highest accuracy among handcrafted descriptors in multi-session evaluation and competitive single-session performance relative to both handcrafted and supervised baselines.
That the single parameter sigma_t representing expected translational uncertainty in meters is a sensor-independent physical quantity that enhances cross-sensor generalization while reducing per-dataset tuning.
PROBE is a learning-free LiDAR place recognition descriptor using probabilistic Bernoulli occupancy in BEV with analytical translation marginalization via polar Jacobian, achieving top handcrafted accuracy on multi-session tasks across four datasets.
Formal links
Receipt and verification
| First computed | 2026-06-12T01:09:24.522482Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7DC4JOQOHOJSKSW6SV5U7FRKXU \
| 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: f8c5c4ba0e3b93254ade957b4f962abd186e881d8644317a29f3233bb27164d4
Canonical record JSON
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