In an autonomous car, the significance of Ultrasound sensor and camera is very high with parking aid. It helps in avoiding the traffic regulations and the collisions are also prevented.
As one of the USP for autonomous vehicle is minimizing any kind of accidents happens due to reckless driving behaviour shown by the driver’s attitude.
Gap is something very hard to identify and often in an unstructured environment by an automated driving system, it needs to face the challenges and the knowledge is persistent quest to conquer the unknown.
Often rear end crashes are considered minor among all the crash where the percentage has been low but then also it cannot be underestimated, it also has to be taken care of in any autonomous vehicle.
The topic describes the factors like data competency, capital strength, disruption experience and digital network competence generating a favourable experience in an autonomous industry.
DAS, an important term involved with autonomous vehicles and it is circulating over a period with enormous applications and opportunities involved with it. The study explains that term only.
The study indicates the challenges present in the autonomous driving system. With every new invention, obstacles and challenges are always a major concern.
The topic is mainly based on a behaviour-based architecture developed for Robust behaviour-based control and how it can detect errors of any sort.