Soft Computing Approaches for Automotive Image Processing: Opportunities and Challenges

Abstract

Soft computing techniques-based image processing is an emerging field in automotive applications. Soft computing techniques, such as fuzzy logic, neural computing, evolutionary computation, and machine learning, are used in developing reliable image processing techniques for automotive vehicle applications. As vehicles generally operate on different harsh roads and weather conditions, the image processing techniques shall be very reliable and intelligent to avoid road accidents. The main aim of the paper is to present, how different soft computing approaches are used to overcome the challenges faced in computing real-time automotive image processing for different vehicle automation level.