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  5. Simulation studies of the hybrid human-fuzzy controller for path tracking of an autonomous vehicle
 
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Simulation studies of the hybrid human-fuzzy controller for path tracking of an autonomous vehicle

Journal
Lecture Notes in Electrical Engineering
ISSN
18761100
Date Issued
2021-01-01
Author(s)
Halin H.
Wan Khairunizam Wan Ahmad
Universiti Malaysia Perlis
Haris H.
Zuradzman Mohamad Razlan
Universiti Malaysia Perlis
Shahriman Abu Bakar
Universiti Malaysia Perlis
Zunaidi I.
Wan Azani Wan Mustafa
Universiti Malaysia Perlis
DOI
10.1007/978-981-15-5281-6_71
Abstract
Human intelligence and experience help them in making a decision and recognize a pattern. This ability enables the driver to take action even in an unexpected situation. The hybrid integration between human intelligence/experience and machine controller able to improve the autonomous vehicle path tracking capability. The path tracking capability is the main concern of the autonomous vehicle. The Fuzzy developed from the experiment’s data. The experiments (human navigation experiments) used to gather the appropriate data from humans while controlling the buggy car. Data then use to develop the membership functions for inputs and output of the Fuzzy controller. The simulation uses to study the performance of the Fuzzy controller. The recorded path tracking error from the simulations for the right and left turn maneuver is 9 m and 7.5 m, respectively.
Funding(s)
Universiti Malaysia Perlis
Subjects
  • Autonomous | Fuzzy | ...

File(s)
Research repository notification.pdf (4.4 MB)
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