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pith:2025:IQ5PV2RVEKBEYLFY5FYKWMPDPQ
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MonoSpheres: Large-Scale Monocular SLAM-Based UAV Exploration through Perception-Coupled Mapping and Planning

Martin Saska, Mat\v{e}j Petrl\'ik, Tom\'a\v{s} Musil

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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4 Citations open
5 Replications open
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Claims

C1strongest claim

To the best of the authors' knowledge, the proposed method is the first to achieve 3D monocular exploration in real-world unstructured outdoor environments.

C2weakest assumption

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.

C3one line summary

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.

References

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[1] CERBERUS in the DARPA Subterranean Challenge, 2022
[2] Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61’s Approach to the DARPA Subterranean Challenge, 2021
[3] UA Vs Beneath the Sur- face: Cooperative Autonomy for Subterranean Search and Rescue in DARPA SubT, 2022
[4] From monocular SLAM to autonomous drone exploration, 2017
[5] Monocular 3D Exploration using Lines-of-Sight and Local Maps, 2020

Formal links

2 machine-checked theorem links

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

arxiv: 2511.17299 · arxiv_version: 2511.17299v2 · doi: 10.48550/arxiv.2511.17299 · pith_short_12: IQ5PV2RVEKBE · pith_short_16: IQ5PV2RVEKBEYLFY · pith_short_8: IQ5PV2RV
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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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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2025-11-21T15:11:15Z",
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