Reliability of Self Driving Cars

Amey Chavan; Snehal Dubey

doi:10.37591/joaea.v10i1.7044

Abstract

One of the most prominent issues of the past ten years has been self-driving cars, which offers superior handling and more precise drive control than human- driven vehicles. Focusing on this problem results in less unacceptable mistakes made by automobiles the more computerised they are. Even if the efficient driving criteria have been raised, collisions are still the worst-case situation for the vehicles and need to be avoided. A vehicle that employs a combination of sensors, cameras, radar, and artificial intelligence (AI) to move between locations without a human driver is referred to as a self- driving car (also known as an autonomous car or driverless car). A vehicle must be capable of navigating to a predefined location across roads that have not been modified for its usage in order to be considered completely autonomous. Autonomous vehicles are proliferating and affecting our daily lives more and more. There is a need for a dependable and trustworthy autonomous driving system that would lessen stress caused by driving while also reducing accidents. However, numerous fatalities brought on by the use of unstable and immature autonomous car software have made us less confident in these systems. This theme issue seeks original work that significantly improves the safety, security, and dependability of autonomous vehicle software in response.

Abstract

Keywords