Abstract
In the modern era, the vehicles are made for the comfort of the humans and the automation of the vehicle focusses on the safety and comfort of the humans by giving them relaxing time. In the field of automobile industries, technological progress are taking place to a greater extent and to make a vehicle automated various aspects have to be taken into consideration. In this paper, we have focussed on the application in which the vehicle system knows the shortest route between the two destinations and follow this route based on its intuition from the surrounding to take further direction or not. The idea described in this paper has somewhat been taken from Google Car, i.e. Dynamic routing. This can be done using the neural network in which a method of intuition is applied and an artificial brain is to be integrated into the system that decides the shortest path through which one can reach its destination and follow that path based on its data that it collected from the surroundings. Since taking any intelligent decisions in the traffic is also an issue for the automated vehicle system. This aspect has been taken into consideration in this paper.
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Singh, M.K., Gopinath, M., Aarthy, S.L. (2020). Intuition-Based Autonomous Vehicle System. In: Satapathy, S., Bhateja, V., Nguyen, B., Nguyen, N., Le, DN. (eds) Frontiers in Intelligent Computing: Theory and Applications. Advances in Intelligent Systems and Computing, vol 1013. Springer, Singapore. https://doi.org/10.1007/978-981-32-9186-7_10
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DOI: https://doi.org/10.1007/978-981-32-9186-7_10
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