Lane Keeping Assist Based on Fuzzy Logic using Camera Sensor

Autor: Edi Rakhman, Noor Cholis Basjaruddin, Fazrin Adinugraha, Didin Saefudin, Taufik Ramadhan
Rok vydání: 2019
Předmět:
Zdroj: 2019 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA).
DOI: 10.1109/icamimia47173.2019.9223426
Popis: This paper discusses the use of camera sensor on Lane Keeping Assist (LKA). LKA is a subsystem of Advanced Driver Assistance System (ADAS) that functions to keep vehicles from getting off the lane, especially on toll road. The data from camera sensor is used as input data of fuzzy logic controller processed on a microcontroller which outputs the decision of the movement of the experimental car’s motor to keep it on the lane. The result of the experiment shows that LKA can successfully avoid the car from getting off the lane with safety index of 95% for High Speed Mode and 100% for Medium and Low Speed Mode.
Databáze: OpenAIRE