ADAS-System

Advanced Driver Assistance System using OpenCV, PyTorch and YOLOv8

🚗 Advanced Driver Assistance System (ADAS)

A real-time Advanced Driver Assistance System (ADAS) built using Python, OpenCV, NumPy, PyTorch, and YOLOv8 for vehicle detection, tracking, and road scene analysis.

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📖 About

This project demonstrates the fundamentals of an Advanced Driver Assistance System (ADAS) using modern Computer Vision and Deep Learning techniques.

The system processes dashboard camera footage in real time to detect road users, estimate their distance, track moving vehicles, and provide visual safety warnings.

This project is part of my learning journey in:

• 🤖 Robotics
• 🚗 Autonomous Systems
• 👁 Computer Vision
• 🧠 Artificial Intelligence
• ⚙ Embedded Systems

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✨ Features

• 🚗 Vehicle Detection
• 🚌 Bus Detection
• 🚛 Truck Detection
• 🚶 Person Detection
• 🎯 Object Tracking (ByteTrack)
• 📊 Vehicle Counting
• 📏 Distance Estimation
• ⚠ Forward Collision Warning
• 🛣 Lane Detection
• 🎥 Video Processing
• 📹 Save Output Video
• ⚡ FPS Monitoring

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🛠 Tech Stack

Technology	Purpose
Python	Programming Language
OpenCV	Image Processing
NumPy	Numerical Computing
PyTorch	Deep Learning Backend
YOLOv8	Object Detection
ByteTrack	Multi-Object Tracking

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📂 Project Structure

ADAS-System/
│
├── images/
│   └── road.jpg
│
├── outputs/
│   ├── output.mp4
│   └── output_v5.mp4
│
├── videos/
│   └── road.mp4
│
├── adas_v2.py
├── adas_v3.py
├── adas_v4_tracking.py
├── adas_v4_2.py
├── adas_v5_lane_detection.py
│
├── requirements.txt
└── README.md

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🚀 Installation

Clone the repository

git clone https://github.com/sharvaeshyuvaraj-pixel/ADAS-System.git

Go to the project

cd ADAS-System

Install dependencies

pip install -r requirements.txt

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▶ Run

Example:

python adas_v5_lane_detection.py

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📸 Sample Output

Add screenshots here after running the project.

Example:

images/
    output1.png
    output2.png

Then display them like this:

![Output](images/output1.png)

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📈 Current Progress

Version	Status
V1	✅ Video Processing
V2	✅ YOLO Detection
V3	✅ Object Information
V4	✅ Object Tracking
V4.2	✅ Collision Warning
V5	✅ Lane Detection
V6	🚧 Planned

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🚀 Future Improvements

• Lane Departure Warning
• Speed Estimation
• Traffic Sign Detection
• Traffic Light Recognition
• Driver Drowsiness Detection
• Blind Spot Detection
• Time To Collision (TTC)
• Bird's Eye View
• Sensor Fusion
• ROS2 Integration

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📚 What I Learned

• OpenCV Fundamentals
• NumPy for Image Processing
• Deep Learning with PyTorch
• YOLOv8 Object Detection
• ByteTrack Tracking
• Computer Vision Pipeline
• Video Processing
• ADAS Fundamentals

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👨‍💻 Author

Sharvaesh Yuvaraj

Electronics & Instrumentation Engineering Student

Interested in:

• Robotics
• Autonomous Systems
• Computer Vision
• Embedded Systems
• Artificial Intelligence

GitHub:

https://github.com/sharvaeshyuvaraj-pixel

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⭐ Support

If you found this project useful, consider giving it a ⭐ on GitHub.

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📄 License

This project is licensed under the MIT License.