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AI-based adaptive vehicle control system

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TLDR
In this article, an AI-based adaptive vehicle control system which controls the speed of a vehicle in accordance with the driving characteristics of the driver is presented, where the danger index is calculated by the fuzzy induction from the membership functions which are determined in advance in accordance to a general driver's sense of driving.
Abstract
An AI-based adaptive vehicle control system which controls the speed of a vehicle in accordance with the driving characteristics of the driver. In effecting the follow-up driving which corresponds to the driving characteristics of the driver, the vehicle environment such as the distance between the vehicle and the vehicle in front, the relative speed, and the relative position, and the running state such as the speed and the steering angle of the vehicle itself are detected, and a danger index is calculated from the detected vehicle environment and running state in accordance with the driver's sense of driving. The danger index is calculated by the fuzzy induction from the membership functions which are determined in advance in accordance with a general driver's sense of driving. The running state of the vehicle such as the speed is controlled in accordance with the danger index. When the manipulated variable is changed by the driving operation of the driver, the danger index is adjusted in accordance with the amount of change. The change by the driving operation of the driver is reflected as the change in the membership functions. Thus, the calculated danger index gradually agrees with the driving characteristic of the driver.

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References
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TL;DR: In this paper, a method and system for detecting a presence of a preceding vehicle moving in a front detection area of a controlled vehicle is presented. But it does not consider the presence of the real preceding vehicle.
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