pith:GHNNX26G
NavOne: One-Step Global Planning for Vision-Language Navigation on Top-Down Maps
NavOne reformulates vision-language navigation as one-step global path planning via direct dense path probability prediction on pre-built top-down maps.
arxiv:2605.06317 v3 · 2026-05-07 · cs.CV · cs.AI
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Claims
NavOne achieves state-of-the-art performance among map-based VLN methods, with a planning-stage speedup of 8x over existing map-based baselines and 80x over egocentric methods, enabling highly efficient global navigation.
The approach assumes the availability of pre-built top-down maps and that direct prediction of dense path probabilities on these maps can effectively solve the navigation task without the error accumulation issues of step-by-step methods.
NavOne enables one-step global navigation planning on top-down maps using a unified multi-modal framework, achieving state-of-the-art results and up to 80x speedup on the new R2R-TopDown dataset.
Receipt and verification
| First computed | 2026-05-20T00:05:46.229750Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
31dadbebc6efec31ab4ecbcd603c8e2fc82c2523cbabf1801a47de292cccc990
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GHNNX26G57WDDK2OZPGWAPEOF7 \
| 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: 31dadbebc6efec31ab4ecbcd603c8e2fc82c2523cbabf1801a47de292cccc990
Canonical record JSON
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