REPOGEO REPORT · LITE

autodriving-heart/Awesome-Autonomous-Driving

Default branch main · commit 3015a0e5 · scanned 5/15/2026, 10:12:30 PM

GitHub: 1,124 stars · 103 forks

AI VISIBILITY SCORE

23 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 0 warn · 1 fail

Objective metadata checks

AI knows your name

2 / 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 autodriving-heart/Awesome-Autonomous-Driving, 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

hightopics#1

Add comprehensive topics for better categorization

Why:

CURRENT

(none)

COPY-PASTE FIX

autonomous-driving, awesome-list, self-driving-cars, computer-vision, deep-learning, perception, planning, control, multi-sensor-fusion, lidar, camera, radar, machine-learning, tutorials, courses, research-papers, community

highlicense#2

Add a LICENSE file to clarify usage rights

Why:

CURRENT

(no LICENSE file detected — the repo has no recognizable license)

COPY-PASTE FIX

Create a `LICENSE` file in the repository root with the CC-BY-4.0 license, which is suitable for curated content lists.

mediumabout#3

Update repository description for clarity

Why:

CURRENT

Description: awesome-autonomous-driving

COPY-PASTE FIX

A comprehensive awesome list and learning community for autonomous driving, covering perception, planning, control, multi-sensor fusion, and AI model deployment tutorials.

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 autodriving-heart/Awesome-Autonomous-Driving

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Udacity's Self-Driving Car Engineer Nanodegree

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Udacity's Self-Driving Car Engineer Nanodegree · recommended 1×
Coursera's "Self-Driving Cars Specialization" by the University of Toronto · recommended 1×
ApolloAuto/apollo · recommended 1×
NVIDIA's Deep Learning Institute (DLI) Courses · recommended 1×
ROS (Robot Operating System) · recommended 1×

CATEGORY QUERY
Where can I find comprehensive learning resources for autonomous driving perception and planning?
you: not recommended
AI recommended (in order):
1. Udacity's Self-Driving Car Engineer Nanodegree
2. Coursera's "Self-Driving Cars Specialization" by the University of Toronto
3. Apollo Auto (ApolloAuto/apollo)
4. NVIDIA's Deep Learning Institute (DLI) Courses
5. ROS (Robot Operating System)
6. Waymo Open Dataset
7. OpenCV (opencv/opencv)
AI recommended 7 alternatives but never named autodriving-heart/Awesome-Autonomous-Driving. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking practical tutorials for multi-sensor calibration and AI model deployment in self-driving systems.
you: not recommended
AI recommended (in order):
1. Kalibr (ethz-asl/kalibr)
2. ROS
3. camera_calibration
4. tf
5. MATLAB
6. Simulink
7. Automated Driving Toolbox
8. OpenCV
9. NVIDIA TensorRT
10. ONNX Runtime
11. OpenVINO Toolkit
12. ROS 2
13. ros2_deep_learning
14. TFLite
AI recommended 14 alternatives but never named autodriving-heart/Awesome-Autonomous-Driving. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
fail
Suggestion:
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 autodriving-heart/Awesome-Autonomous-Driving?
pass
AI named autodriving-heart/Awesome-Autonomous-Driving explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts autodriving-heart/Awesome-Autonomous-Driving in production, what risks or prerequisites should they evaluate first?
pass
AI named autodriving-heart/Awesome-Autonomous-Driving 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 autodriving-heart/Awesome-Autonomous-Driving solve, and who is the primary audience?
pass
AI did not name autodriving-heart/Awesome-Autonomous-Driving — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of autodriving-heart/Awesome-Autonomous-Driving. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/autodriving-heart/Awesome-Autonomous-Driving.svg)](https://repogeo.com/en/r/autodriving-heart/Awesome-Autonomous-Driving)

HTML

<a href="https://repogeo.com/en/r/autodriving-heart/Awesome-Autonomous-Driving"><img src="https://repogeo.com/badge/autodriving-heart/Awesome-Autonomous-Driving.svg" alt="RepoGEO" /></a>

Pro

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autodriving-heart/Awesome-Autonomous-Driving — 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