Interval type-2 intelligent fuzzy vehicle speed controller design using headlamp reflection detection and an adaptive neuro–fuzzy inference system

• Published in: PloS one Vol. 20; no. 6; p. e0323913
• Main Authors: Ryu, Seung-Min, Choi, Kang-Hyeon, Chang, Hyuk-Jun
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 02.06.2025; Public Library of Science (PLoS)
• Subjects: Algorithms; Automobile Driving; Biology and Life Sciences; Cameras; Communication; Computer and Information Sciences; Control systems design; Controllers; Design; Engineering and Technology; Fuzzy control; Fuzzy Logic; Headlamps; Headlights; Humans; Inference; Light; Light intensity; Luminous intensity; Neural networks; Neural Networks, Computer; Physical Sciences; Prevention; Research and Analysis Methods; Sensors; Social Sciences; Speed control; Surveillance; Traffic accidents; Traffic speed; Vehicles; South Korea

In this study, we present an algorithm to estimate the distance between a vehicle and a target object using light from headlights captured by a camera. In situations with limited distance data, we also design a fuzzy controller using the adaptive neuro–fuzzy inference system (ANFIS). To enhance robu...