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pith:H5JNI2XZ

pith:2026:H5JNI2XZ45NHXVNSUX3NTN5YRK
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Altitude-Adaptive Vision-Only Geo-Localization for UAVs in GPS-Denied Environments

Chunyu Li, Liangzheng Sun, Mengfan He, Xingyu Shao, Ziyang Meng

Estimating relative altitude from one downward image normalizes scale and raises UAV retrieval recall by over 40 points.

arxiv:2602.23872 v3 · 2026-02-27 · cs.CV · cs.RO

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4 Citations open
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Claims

C1strongest claim

With our visual place recognition module, altitude adaptation improves average R@1 and R@5 by 41.50 and 56.83 percentage points, respectively, compared with using the same retrieval pipeline without altitude normalization.

C2weakest assumption

Relative altitude can be reliably estimated from a single downward-looking image by frequency-domain transformation formulated as a regression-as-classification problem, supplying an effective scale prior that benefits downstream visual place recognition under significant altitude variations.

C3one line summary

A vision-only system estimates altitude from one downward image to normalize scale and improve UAV geo-localization accuracy under large height changes.

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First computed 2026-05-26T02:03:10.569289Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3f52d46af9e75a7bd5b2a5f6d9b7b88a97b36f4996030ca034eeb2fbfa645319

Aliases

arxiv: 2602.23872 · arxiv_version: 2602.23872v3 · doi: 10.48550/arxiv.2602.23872 · pith_short_12: H5JNI2XZ45NH · pith_short_16: H5JNI2XZ45NHXVNS · pith_short_8: H5JNI2XZ
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/H5JNI2XZ45NHXVNSUX3NTN5YRK \
  | 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: 3f52d46af9e75a7bd5b2a5f6d9b7b88a97b36f4996030ca034eeb2fbfa645319
Canonical record JSON
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