Pith Number

pith:2FCDALI6

pith:2025:2FCDALI64N62XVJLYX7QS2FO5G

not attested not anchored not stored refs pending

DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments

Chengyang Li, Chengzhong Xu, Fei Gao, Mingle Zhao, Shuai Wang, Wei Sui, Wei Zuo, Yik-Chung Wu, Yikun Wang, Zeyi Ren

DPNet fuses Doppler LiDAR velocity readings into a neural tracker and adaptive planner to handle fast-moving obstacles at high frequency and accuracy.

arxiv:2512.00375 v3 · 2025-11-29 · cs.RO

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3 Author claim open · sign in to claim

4 Citations open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

These two modules allow DPNet to learn fast environmental changes from minimal data while remaining lightweight, achieving high frequency and high accuracy in both tracking and planning.

C2weakest assumption

The nontrivial integration of Doppler measurements into high-accuracy, high-frequency planning can be solved by the proposed D-KalmanNet and DT-MPC without introducing unacceptable latency or instability.

C3one line summary

DPNet uses Doppler LiDAR with a Doppler Kalman neural network for obstacle tracking and Doppler-tuned MPC for real-time ego-motion planning to achieve high-frequency accurate navigation in highly dynamic environments.

Receipt and verification

First computed	2026-05-26T02:03:05.886414Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d144302d1ee37dabd52bc5ff0968aee981204ee8021bb0b48dbde7ab9de100ae

Aliases

arxiv: 2512.00375 · arxiv_version: 2512.00375v3 · doi: 10.48550/arxiv.2512.00375 · pith_short_12: 2FCDALI64N62 · pith_short_16: 2FCDALI64N62XVJL · pith_short_8: 2FCDALI6

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/2FCDALI64N62XVJLYX7QS2FO5G \
  | 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: d144302d1ee37dabd52bc5ff0968aee981204ee8021bb0b48dbde7ab9de100ae

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "214f07c7efe5b81dcbf5aa6465ae792d75736603113eee88226ca5414bc66646",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2025-11-29T08:04:15Z",
    "title_canon_sha256": "2c91968f2d1426af165fe7fda464b459f0a7bb7a680e871d5b814d6b6e649aa9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2512.00375",
    "kind": "arxiv",
    "version": 3
  }
}