ShisatoYano/AutonomousVehicleControlBeginnersGuide
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 16 contributors on GitHub.
Use Cases & Benefits
- Provides Python sample codes and documentation to study autonomous vehicle control algorithms and software architectures for beginners.
- Offers a comprehensive, hands-on technical guide with simulations covering localization, mapping, path planning, path tracking, and perception.
- Use for learning and experimenting with various autonomous vehicle algorithms through executable Python simulations.
- Use for educators designing curriculum or workshops on autonomous driving technologies and algorithm fundamentals.
- Use for researchers prototyping and validating autonomous navigation and control methods in a modular Python environment.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
Watch-outs
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
This is a sample codes collections about Autonomous vehicle control algorithm. Each source codes are implemented with Python to help your understanding. You can fork this repository and use for studying, education or work freely.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
319+79
Open issues
61+53
Compared with peers in Computer Vision
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| mudler/LocalAI | 50.2K | +176 | 59 | 12 days ago |
| PaddlePaddle/PaddleOCR | 92.3K | — | 47 | 147 days ago |
| d2l-ai/d2l-en | 30.0K | — | 45 | — |
| lukas-blecher/LaTeX-OCR | 16.6K | — | 18 | — |
| SharpAI/DeepCamera | 3.1K | — | 31 | 227 days ago |
| ShisatoYano/AutonomousVehicleControlBeginnersGuide | 1.9K | — | 18 | — |
| Category median | 30.0K | — | 45 | — |
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