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• W2896533869 abstract "The development of an autonomous vehicle creates a positive impact to the environment, increase passengers safety, and road efficiency. Path tracking control is the core element in the development of an Autonomous Electric Vehicle (AEV). The path tracking is the ability of the AEV to follow the predetermined paths. Path tracking techniques utilizes the steering wheel angle in order to steer the autonomous vehicle. The experiments tend to produce a lot of error, either from the environment or from the devices itself. The performance of the designed Fuzzy controller affected by the errors. The simulation studies are more reliable in order to study the performance of the developed controller. The path tracking simulation was simulated in the LabVIEW program. The simulation uses the actual coordinate at the Institut Kemahiran Mara (IKM) Beseri. This paper focuses on path tracking simulation using fuzzy controller. The path tracking error distance was recorded along the simulation. The average for path tracking error recorded was 1.59 m. The simulation results used to enhance the performance of the Fuzzy controller in the future." @default.
• W2896533869 created "2018-10-26" @default.
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• W2896533869 date "2018-08-01" @default.
• W2896533869 modified "2023-10-12" @default.
• W2896533869 title "Simulation Studies - Path Tracking of an Autonomous Electric Vehicle (AEV) by Using Fuzzy Information of Speed and Steering Angle" @default.
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• W2896533869 doi "https://doi.org/10.1109/icassda.2018.8477593" @default.
• W2896533869 hasPublicationYear "2018" @default.
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