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A curated list of awesome knowledge-driven autonomous driving (continually updated)
| Date | Stars |
|---|---|
| 2026-07-24 | 501 |
| 2026-07-25 | 501 |
| 2026-07-28 | 501 |
| 2026-07-30 | 501 |
| 2026-08-06 | 501 |
Today
— stars today
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growth rate 0.00%/day
# Awesome Knowledge-driven Autonomous Driving :blue_car:
[](https://github.com/PJLab-ADG/awesome-knowledge-driven-AD)
[](https://arxiv.org/abs/2312.04316)
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[](https://github.com/PJLab-ADG/awesome-knowledge-driven-AD/blob/main/LICENSE)
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Here is a collection of research papers and the relevant valuable open-source resources for **awesome knowledge-driven autonomous driving (AD)**. The repository will be continuously updated to track the frontier of knowledge-driven AD.
🌟 Welcome to star and contribute to (PR) this awesome knowledge-driven AD! 🌟
<pre name="code" class="html">
<font color="red">[2023.12.08] <b>New: We release the survey 'Towards Knowledge-driven Autonomous Driving'! </b></font>
<font color="red">[2023.10.24] New: We release the awesome knowledge-driven AD! </font>
</pre>
## :page_with_curl: Outline
- :art: [Overview of knowledge-driven AD](#art-overview-of-knowledge-driven-ad)
- :books: [Papers](#books-papers)
- [Dataset \& Benchmark](#dataset--benchmark)
- [Environment](#environment)
- [Driver Agent](#driver-agent)
- :clipboard: [Survey](#clipboard-survey)
- :mortar\_board: [Tutorial](#mortar_board-tutorial)
- :bookmark: [Citation](#bookmark-citation)
- :memo: [License](#memo-license)
## :art: Overview of knowledge-driven AD
The autonomous driving community has witnessed substantial growth in approaches that embrace a knowledge-driven paradigm. Here, we delve into knowledge-driven autonomous driving, exploring motivations, components, challenges, and prospects. More details of knowledge-driven autonomous driving can be found in our paper.
<p align="center">
<img style="border-radius: 0.3125em;
box-shadow: 0 2px 4px 0 rgba(34,36,38,.12),0 2px 10px 0 rgba(34,36,38,.08);"
src="./assets/knowledge_AD.png">
<br>
<em style="display: inline-block;">Key components in knowledge-driven AD.</em>
</p>
## :books: Papers
### Dataset \& Benchmark
| Knowledge-aug. Dataset | Sensors | Knowledge Form | Tasks | Metrics |
|-------------------------------------------------------------------------|----------|-----------------------------------------|------------------------------|----------------------------------------|
| [BDD-X](https://github.com/JinkyuKimUCB/explainable-deep-driving) | C | Explanation | Vehicle Control, Explanation Generation, Scene Captioning | MAE, MDC, BLEU-4, METEOR, CIDEr-D |
| [Cityscapes-Ref](https://arxiv.org/abs/1801.01582) | C | Object Referral, Gaze Heatmap | Object Referring | Acc@1 |
| [DR(eye)VE](http://imagelab.ing.unimore.it/dreyeve) | C | Gaze Heatmap | Gaze Prediction | CC, KLD, IG |
| [HAD](https://usa.honda-ri.com/HAD) | C | Advice | Vehicle Control | MAE, MDC |
| [Talk2Car](https://macchina-ai.cs.kuleuven.be/) | C+L+R | Object Referral | Object Referring Excerpt of 27,102 characters
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matched fp:c51928b4fd47bcd3, topic:autonomous-driving, desc:autonomous driving, readme:autonomous driving
matched fp:c51928b4fd47bcd3, topic:large-language-models
matched fp:c51928b4fd47bcd3, topic:vision-language-model