A self-driving car (autonomous car) has been a popular part of social imagining for decades. While much of uncompleted conversations surrounding self-driving cars are centred on moral dilemmas like the ways to respond in the event of a crash. The implementation of big data can ease these issues in the future of autonomous vehicles. Continues development in IoT (Internet of Things) will also play a vital role in creating the appropriate environment for an autonomous vehicle.
The simplest reason to have big data in autonomous cars is to operate well. It is evident that self-driving cars are equipped with cameras and sensors because they are used to survey and interact with the environment. These would become useless without getting access to a reliable stream of data. The fact about the autonomous vehicle is they are incapable of operating safely unless they get access to these data. This is where IoT comes into play.
It is predicted that autonomous cars are also developing gut feelings as human do; this does not mean that it will be smart enough to save the day. Hence, autonomous cars will require the help of data and human to prevent accidents. If the research continues to focus on creating an IoT of the future to access the autonomous cars directly, it is possible to enjoy self-driving vehicles sooner than imagined. Therefore, the developers in the auto industry start investing heavily in IoT. By implementing IoT, everything is communicating with everything else. Thus, the self-driving cars can easily communicate with sensors on highways to determine to suitable route for traffic.
The future of autonomous mobility hinges on re-architecture and a complete overhaul of the nervous system of the vehicle, there is no doubt in it. This future smart vehicle architecture will be the one that will bring the fast, secure, and reliable distribution of power and data. The automotive players who achieve this successfully will be the one who wins the race of developing the safest and fully autonomous vehicles.