Pith Number

pith:ACWN477R

pith:2025:ACWN477R352NSOXDWDBHB7BJSE

not attested not anchored not stored refs resolved

Radio-Coverage-Aware Path Planning for Cooperative Autonomous Vehicles

Fabrizio Frescura, Francesco Binucci, Giuseppe Baruffa, Luca Rugini, Paolo Banelli, Renzo Perfetti

Autonomous vehicle fleets can plan routes that favor strong radio coverage while keeping extra distance minimal.

arxiv:2511.06874 v2 · 2025-11-10 · eess.SP · cs.SY · eess.SY

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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Claims

C1strongest claim

The proposed mapping algorithm can achieve a mapping error probability below 2%, while the proposed path-planning algorithms extend the radio coverage of the AVs, with only a limited increase in traveled distance with respect to shortest-path existing methods, such as conventional Dijkstra and A* algorithms.

C2weakest assumption

That radio coverage areas can be accurately sensed and mapped in real time by the vehicles' range-based sensors while they move, and that the introduced radio-related cost-weighting functions produce meaningful improvements without hidden trade-offs not captured in the simulations.

C3one line summary

Autonomous vehicles can improve radio coverage during path planning by weighting costs in Dijkstra and A* algorithms, achieving low mapping error and only modest extra distance.

References

38 extracted · 38 resolved · 0 Pith anchors

[1] Region coverage-aware path planning for unmanned aerial vehicles: A systematic review, 2023

[2] Cooperative heterogeneous multi-robot systems: A survey, 2019

[3] A clustering- based coverage path planning method for autonomous heteroge- neous UA Vs, 2022

[4] Path planning protocol for collaborative multi-robot systems, 2005

[5] A review of cooperative path planning of an unmanned aerial vehicle group, 2020

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T03:09:33.343762Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

00acde7ff1df74d93ae3b0c270fc299137fe4e879efa230f66bdff4fca1b4fbb

Aliases

arxiv: 2511.06874 · arxiv_version: 2511.06874v2 · doi: 10.48550/arxiv.2511.06874 · pith_short_12: ACWN477R352N · pith_short_16: ACWN477R352NSOXD · pith_short_8: ACWN477R

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ACWN477R352NSOXDWDBHB7BJSE \
  | 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: 00acde7ff1df74d93ae3b0c270fc299137fe4e879efa230f66bdff4fca1b4fbb

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9099fe693da50a57d82ee51117014d722e3c82850cd26f82d9503c6c66425a06",
    "cross_cats_sorted": [
      "cs.SY",
      "eess.SY"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "eess.SP",
    "submitted_at": "2025-11-10T09:18:42Z",
    "title_canon_sha256": "cac984c3f56fe2c8528c0ab6ee0fb9094537b24ac6826633b1fa6b14e6a939f9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2511.06874",
    "kind": "arxiv",
    "version": 2
  }
}