A Minimalistic Model for Converting Basic Cars Into Semi-Autonomous Vehicles Using AI and Image Processing

Autonomous vehicles are vehicles that can operate without human intervention, and can go anywhere a traditional vehicle can go and perform any task that a skilled human driver can. These vehicles can address environmental and safety concerns by reducing crashes and decreasing reliance on fossil fuels. Human error accounts for 94% of road accidents, which can be significantly reduced by self-driving cars. In our project, we aim to convert any car with basic cruise control features into a semi-autonomous vehicle using image detection and processing, machine learning, and artificial intelligence. Our system will be a minimalistic model of the real-time product, where we aim to achieve functions such as lane switching, sign detection, object detection, and braking. By using this technology, we can create a safer and more sustainable driving experience for everyone.