Autonomous Car Driving :

Technical Components

graph LR
A[Perception] -->|Detected Objects| B[Planning]
B -->|Target Path| C[Control]
C -->|Vehicle Motion| A

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1. Perception System

   • Obstacle detection within sensor range
   • Traffic light state recognition
   • Distance calculation to objects

2. Planning System

   • Reference path generation
   • Dynamic path modification for obstacle avoidance
   • Traffic light response logic (stop/slow down)

3. Control System

   • Lookahead point tracking
   • Steering angle calculation
   • Speed regulation with acceleration profiles

🛠️ Installation

Prerequisites

Ensure you have Python 3.7+ and the required libraries:

pip install matplotlib numpy

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🚀 Running the Simulator

To run the simulation:

python Car.py

Make sure your file is named appropriately, or change the filename accordingly.

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📁 Project Structure

self-driving-car-simulator/
├── Car.py      # Main simulation code
├── README.md                # Project documentation

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Dependencies

• Python 3.7+
• NumPy
• Matplotlib

Installation & Usage

git clone https://github.com/yourusername/Car.git
cd Car
pip install -r requirements.txt
python simulation.py

Simulation Output

The animation shows:

1. Autonomous vehicle (blue rectangle)
2. Planned path (blue line)
3. Obstacles (red circles)
4. Traffic light (color-coded indicator)
5. Lane markings (dashed lines)
6. Dynamic speed display

Contribution

Contributions are welcome! Please fork the repository