Real Time Image and Video Semantic Segmentation For Self- Driving Cars

Abstract

Semantic segmentation was once thought to present a formidable prediction challenge in computer vision. Deep learning has made strides in recent years, making automated driving solutions a viable prospect. The majority of currently used semantic segmentation algorithms weren't created with automated vehicle operation in mind; instead, they were created for general purpose image processing. We describe a dependable technique for semantic segmentation in autonomous cars in this article. A precise and current semantic segmentation system must be created right away for autonomous vehicles to operate in a safe and efficient manner. The foundation of the project is the idea of autonomous driving or self-driving cars. Without the ability to recognize and react to risks like pedestrians, other vehicles, traffic lanes, etc., autonomous vehicles cannot operate.