v1.0.0 - Autonomous Car & Self-Driving System

🚗 Autonomous Car & Self-Driving System v1.0.0

A comprehensive autonomous vehicle project featuring computer vision, lane detection, and object recognition.

🎯 Key Features

Computer Vision Pipeline:

• YOLOv5 object detection for road signs and obstacles
• Lane detection using OpenCV and Kalman filtering
• Real-time video processing

Technical Components:

• Vision/ - Computer vision algorithms and processing
• SDD/ - Software Design Documentation
• SRD/ - Software Requirements Documentation

🛠️ Technologies Used

• YOLOv5 / TensorFlow Lite
• OpenCV with Python
• Kalman Filter for tracking
• DeepSORT for object tracking
• Android Studio for mobile app
• Jetson Nano for edge computing

📚 Notebooks Included

• Roboflow_Train_YOLOv5.ipynb - Training YOLOv5 on custom dataset
• Convert_weight.ipynb - Convert PyTorch weights to TF Lite
• lane_detection.ipynb - Lane detection algorithms

Built for real-world autonomous vehicle applications!