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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Funding
This paper has been funded by DRPM Grant 2019 (contract no. 135/SP2H/LT/DRPM/2019) from the Indonesian Ministry of Research, Technology and Higher Education.
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Noor Cholis Basjaruddin, Saefudin, D. & Andriani, N. Hardware Simulation of Camera-Based Adaptive Cruise Control Using Fuzzy Logic Control. Aut. Control Comp. Sci. 55, 501–509 (2021). https://doi.org/10.3103/S0146411621060031
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DOI: https://doi.org/10.3103/S0146411621060031