Self-Driving Car Steering Angle Prediction

Project Overview

The Self-Driving Car Steering Angle Prediction project is a machine learning-based solution that aims to predict the steering angle of a self-driving car based on real-time video input. Developed using Python and TensorFlow, this project leverages computer vision and deep learning techniques to enable autonomous driving capabilities.

Key features include:

• Real-time video processing and frame extraction
• Convolutional Neural Network (CNN) architecture for steering angle prediction
• Transfer learning and fine-tuning of pre-trained models
• Comprehensive data preprocessing and augmentation techniques
• Deployment on a Linux-based platform for seamless integration

Project Outcome

The Self-Driving Car Steering Angle Prediction project has demonstrated promising results in accurately predicting the steering angle of a self-driving car based on video input. The use of deep learning and computer vision techniques has enabled the system to make real-time decisions and control the vehicle's movements effectively.

Through this project, I learn to applying machine learning and deep learning principles to solve real-world problems. I also learn to handle complex data preprocessing, model training, and deployment on a Linux platform. The successful implementation of this project has further strengthened my learning ability for machine learning engineer with a strong understanding of autonomous driving technologies.