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Automatic Control and Computer Sciences

Erschienen in:

01.11.2021

Hardware Simulation of Camera-Based Adaptive Cruise Control Using Fuzzy Logic Control

verfasst von: Noor Cholis Basjaruddin, Didin Saefudin, Nela Andriani

Erschienen in: Automatic Control and Computer Sciences | Ausgabe 6/2021

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Abstract

The situation of monotonous and high speed in highway will increase the risk of accidents. Drivers need to adjust the vehicle speed for safe-distance maintain. A device that can help drivers set a safe distance with the vehicle in front is known as adaptive cruise control (ACC). The ACC is a subsystem of advanced driver assistance systems (ADASs) that serves to assist the driver during cruise driving. This study presents the hardware simulation of camera-based ACC. Fuzzy logic is used to get smoother experimental car movements so that it is like a real vehicle. The results from hardware simulation show that camera-based ACC simulation and the fuzzy logic control can work according to the design. The results of ACC testing with a constant leading-vehicle speed have a success rate of 75%, while testing with a changing leading-vehicle speed has a success percentage of 60%.

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Titel: Hardware Simulation of Camera-Based Adaptive Cruise Control Using Fuzzy Logic Control
verfasst von: Noor Cholis Basjaruddin
Didin Saefudin
Nela Andriani
Publikationsdatum: 01.11.2021
Verlag: Pleiades Publishing
Erschienen in: Automatic Control and Computer Sciences / Ausgabe 6/2021
Print ISSN: 0146-4116
Elektronische ISSN: 1558-108X
DOI: https://doi.org/10.3103/S0146411621060031

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