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ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

Bing Wang, Chong Zhang, Diankun Zhang, Dingkang Liang, Dingyuan Zhang, Haoyu Fu, Hongwei Xie, Jianfeng Cui, Xiang Bai, Zongchuang Zhao

ORION reports 77.74 Driving Score and 54.62% Success Rate on Bench2Drive, outperforming prior end-to-end methods by 14.28 DS and 19.61% SR through unified VQA and planning optimization.

arxiv:2503.19755 v1 · 2025-03-25 · cs.CV

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\pithnumber{XRXESRULOKATW7KFSUUF36GC4G}

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4 Citations open
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Claims

C1strongest claim

Our method achieves an impressive closed-loop performance of 77.74 Driving Score (DS) and 54.62% Success Rate (SR) on the challenge Bench2Drive datasets, which outperforms state-of-the-art (SOTA) methods by a large margin of 14.28 DS and 19.61% SR.

C2weakest assumption

The assumption that aligning the reasoning space of the LLM with the numerical action space through unified E2E optimization will reliably improve closed-loop causal reasoning and trajectory quality without introducing new failure modes.

C3one line summary

ORION reports 77.74 Driving Score and 54.62% Success Rate on Bench2Drive, outperforming prior end-to-end methods by 14.28 DS and 19.61% SR through unified VQA and planning optimization.

References

103 extracted · 103 resolved · 13 Pith anchors

[1] GPT-4 Technical Report · arXiv:2303.08774
[2] Flamingo: a visual language model for few-shot learning 2022
[3] Gemini: A Family of Highly Capable Multimodal Models 2023 · arXiv:2312.11805
[4] Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond 2023 · arXiv:2308.12966
[5] Improving image generation with better captions 2023

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Cited by

22 papers in Pith

Receipt and verification
First computed 2026-05-17T23:38:14.609345Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

bc6e49468b72813b7d4595285df8c2e1b90a7d8aabb0b50e716e5b121db8db68

Aliases

arxiv: 2503.19755 · arxiv_version: 2503.19755v1 · doi: 10.48550/arxiv.2503.19755 · pith_short_12: XRXESRULOKAT · pith_short_16: XRXESRULOKATW7KF · pith_short_8: XRXESRUL
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XRXESRULOKATW7KFSUUF36GC4G \
  | 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: bc6e49468b72813b7d4595285df8c2e1b90a7d8aabb0b50e716e5b121db8db68
Canonical record JSON
{
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-03-25T15:18:43Z",
    "title_canon_sha256": "e6b883d4f076b60131e6a6bb77665fdb875b0feae3729b26a76fe1e1b585b8dd"
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