RRepoGEO

REPOGEO REPORT · LITE

hustvl/Senna

Default branch main · commit cddce261 · scanned 6/7/2026, 7:28:20 PM

GitHub: 552 stars · 48 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface hustvl/Senna, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the core value proposition in the README

    Why:

    CURRENT
    <div align ="center">

<h3> Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving </h3>

Bo Jiang<sup>1</sup>, Shaoyu Chen<sup>1</sup>, Bencheng Liao<sup>1</sup>, Xingyu Zhang<sup>2</sup>, Wei Yin<sup>2</sup>, Qian Zhang<sup>2</sup>, Chang Huang<sup>2</sup>, Wenyu Liu<sup>1</sup>, Xinggang Wang<sup>1,📧</sup>

<sup>1</sup> Huazhong University of Science and Technology,
<sup>2</sup> Horizon Robotics,
<sup>📧</sup> corresponding author

</div>

[](https://arxiv.org/abs/2410.22313)
[](https://huggingface.co/rb93dett/Senna)
</div>

https://github.com/user-attachments/assets/3fd172be-d78d-47ae-867d-a473a1e6ddd6

## News
    COPY-PASTE FIX
    <div align ="center">

<h3> Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving </h3>

Bo Jiang<sup>1</sup>, Shaoyu Chen<sup>1</sup>, Bencheng Liao<sup>1</sup>, Xingyu Zhang<sup>2</sup>, Wei Yin<sup>2</sup>, Qian Zhang<sup>2</sup>, Chang Huang<sup>2</sup>, Wenyu Liu<sup>1</sup>, Xinggang Wang<sup>1,📧</sup>

<sup>1</sup> Huazhong University of Science and Technology,
<sup>2</sup> Horizon Robotics,
<sup>📧</sup> corresponding author

</div>

**Senna is an end-to-end autonomous driving system that integrates Large Vision-Language Models (VLMs) to enhance planning safety, robustness, and generalization.**

[](https://arxiv.org/abs/2410.22313)
[](https://huggingface.co/rb93dett/Senna)
</div>

https://github.com/user-attachments/assets/3fd172be-d78d-47ae-867d-a473a1e6ddd6

## News
  • mediumtopics#2
    Expand topics for broader autonomous driving coverage

    Why:

    CURRENT
    autonomous-driving, end-to-end, vision-language-model
    COPY-PASTE FIX
    autonomous-driving, end-to-end, vision-language-model, self-driving, autonomous-vehicles, vehicle-control, planning, perception
  • lowreadme#3
    Add a 'Comparison' or 'Related Work' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison' or 'Related Work' to the README, briefly outlining how Senna differentiates itself from other end-to-end autonomous driving systems or VLM-based approaches.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface hustvl/Senna
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenPilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenPilot · recommended 1×
  2. CARLA Simulator · recommended 1×
  3. ROS 2 · recommended 1×
  4. NVIDIA DriveWorks · recommended 1×
  5. Isaac ROS · recommended 1×
  • CATEGORY QUERY
    How to integrate large vision-language models for end-to-end autonomous vehicle control?
    you: not recommended
    AI recommended (in order):
    1. OpenPilot
    2. CARLA Simulator
    3. ROS 2
    4. NVIDIA DriveWorks
    5. Isaac ROS
    6. Apollo
    7. Hugging Face Transformers
    8. PyTorch
    9. TensorFlow
    10. ONNX Runtime
    11. NVIDIA TensorRT
    12. OAK-D
    13. NVIDIA Jetson

    AI recommended 13 alternatives but never named hustvl/Senna. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are robust end-to-end autonomous driving systems using advanced vision models for planning?
    you: not recommended
    AI recommended (in order):
    1. Wayve
    2. openpilot
    3. Tesla Autopilot/FSD
    4. NVIDIA DRIVE
    5. Mobileye
    6. Pony.ai
    7. Cruise

    AI recommended 7 alternatives but never named hustvl/Senna. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of hustvl/Senna?
    pass
    AI named hustvl/Senna explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts hustvl/Senna in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hustvl/Senna explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo hustvl/Senna solve, and who is the primary audience?
    pass
    AI named hustvl/Senna explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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hustvl/Senna — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite