To embed your self-driving car software into real autonomous vehicle systems and integrate it with internet-based connectivity , you need to follow a structured approach. Below is how you can transform your Python-based lane detection software into an IoT-powered autonomous vehicle system . 1. Steps to Make It Internet-Connected & Embedded in Cars ✅ Step 1: Upgrade to Advanced AI for Self-Driving Your current script detects lane lines but does not control the vehicle . To make it autonomous, integrate: Deep Learning (CNNs, RNNs) for road segmentation YOLO or SSD for object detection (Detects pedestrians, traffic lights, other vehicles) Reinforcement Learning (DQN, PPO) for autonomous decision-making 📌 Upgrade your pipeline : Camera Processing → Detect road, lanes, and obstacles Sensor Fusion (LIDAR, Ultrasonic, GPS, IMU) Deep Learning Model → Predict steering, throttle, braking Embedded System Integration (ESP32, Raspberry Pi, Jetson Nano) Internet Connectiv...