pith:74QA3HIF
Ray-Based Simulation of Scattering from Discretized Curved Bodies for Vehicular and ISAC Applications
Discretizing curved surfaces with facets sized by local curvature and wavelength, plus extended diffraction, improves ray-tracing accuracy for vehicle scattering predictions.
arxiv:2604.05991 v2 · 2026-04-07 · eess.SP
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\pithnumber{74QA3HIFMM4JKGDZDVUYFNB5BV}
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Record completeness
Claims
Results show that appropriate discretization combined with extended diffraction modeling significantly improves scattering prediction from curved bodies, providing a computationally efficient framework for vehicular propagation and integrated sensing and communication (ISAC) channel modeling.
The assumption that linking facet size to local curvature and wavelength balances geometric fidelity, computational accuracy and efficiency sufficiently for practical use in complex scenarios like vehicles.
Discretizing curved bodies with curvature- and wavelength-dependent facet sizes and using extended UTD improves ray-based scattering predictions for vehicles and roadside structures.
Receipt and verification
| First computed | 2026-07-03T01:17:20.291136Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ff200d9d0563389518791d6982b43d0d7529a60b9381596fb1cbf93560a56ae1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/74QA3HIFMM4JKGDZDVUYFNB5BV \
| 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: ff200d9d0563389518791d6982b43d0d7529a60b9381596fb1cbf93560a56ae1
Canonical record JSON
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