pith:IQ5PV2RV
MonoSpheres: Large-Scale Monocular SLAM-Based UAV Exploration through Perception-Coupled Mapping and Planning
Monocular SLAM with oversampled free-space mapping and uncertainty-aware planning lets UAVs explore large unstructured 3D outdoor environments.
arxiv:2511.17299 v2 · 2025-11-21 · cs.RO
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Record completeness
Claims
To the best of the authors' knowledge, the proposed method is the first to achieve 3D monocular exploration in real-world unstructured outdoor environments.
That the sparse monocular SLAM frontend, when augmented with oversampling and uncertainty tracking, provides sufficiently reliable free-space information for safe planning in textureless or low-parallax regions.
MonoSpheres achieves large-scale 3D monocular UAV exploration in unstructured real-world environments by oversampling free space in texture-sparse areas, tracking obstacle uncertainty, and using rapid replanning with perception-aware heading control.
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Receipt and verification
| First computed | 2026-05-17T23:39:17.064399Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
443afaea3522824c2cb8e970ab31e37c18ec579db7253534fba7a0d058f0f43f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IQ5PV2RVEKBEYLFY5FYKWMPDPQ \
| 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: 443afaea3522824c2cb8e970ab31e37c18ec579db7253534fba7a0d058f0f43f
Canonical record JSON
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