Читать книгу Intelligent Connectivity - Abdulrahman Yarali - Страница 50

However, the most consequential aspect of AI implementation in modern vehicles is self‐driving technology. It has been something that the entire automotive industry has been working towards for a very long time, and the effects delineate the exact circumstances (Hansen et al. 2015). One of the most obvious challenges is that people want AI to drive their vehicles, but they also want to be driven in the same way. This goes beyond what one would expect to be following safety rules and might consider the speed and the responsive behavior when other vehicles are on the road (Ge, Li, and Li 2017). This means that there needs to be a significant contribution to decision‐making capabilities within the AI routines in addition to sensory and cognitive functions. Moreover, self‐driving vehicles can also be looked upon as IoT devices themselves, or a series of the same working towards a highly complex human goal. It should also specifically involve consideration for communications. Under these circumstances, there should be a focus on vehicle‐to‐vehicle (V2V) or vehicle‐to‐communication (V2X) aspects (Dong et al. 2017). However, the specific processes that lead the vehicle to drive itself are pursued in many different ways.