Fuzzy rules of interval type-2.

Fuzzy rules of interval type-2.

<div><p>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 (ANF...

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Bibliographic Details
Main Author: Seung-Min Ryu (21463891) (author)
Other Authors: Kang-Hyeon Choi (21463894) (author), Hyuk-Jun Chang (4956007) (author)
Published: 2025
Subjects:
Biochemistry
Neuroscience
Biotechnology
Developmental Biology
Science Policy
Space Science
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
simulation results demonstrate
function effectively across
47 &# 8211
41 &# 8211
trained using anfis
fuzzy inference system
vehicle speed sensor
adjust vehicle speed
limited distance data
fuzzy controller using
2 fuzzy controller
distance estimation algorithm
image intensity values
vehicle speed
fuzzy controller
distance data
vehicle system
implemented using
weighted values
anfis ).
2 approach
controller integrated
vehicle positions
fuzzy controllers
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target object
successfully controlled
segment based
predefined intervals
interval type
interest containing
image value
enhance robustness
derived value
control torque
capturing images
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