Dr. Ertugrul completed his PhD in Mechatronics Engineering at Marmara University. He studied Nanotechnology and Control in his Ph.D. and completed his doctorate education in June 2019. He has published international studies, specifically in the field of MEMS-based sensor and actuator fabrication and characterization by the additive manufacturing method. He is currently working as an Assistant Professor at Muş Alparslan University.
In this study, it is aimed to perform a COMSOL analysis of the inertial measurement unit (IMU), which is a sensor based on a microelectromechanical system (MEMS) in an inertial navigation system (INS). Autonomous vehicles are the types of vehicles that can go on the move without the intervention of the driver by detecting the road, traffic flow, and environment without the need of a driver, thanks to its automatic control systems, software algorithms, and intelligent sensor structures. Autonomous vehicles can detect objects around them using technologies and techniques such as radio detection and ranging (RADAR), light imaging detection and ranging (LIDAR), Global Positioning System (GPS), INS, ultrasonic sensors, camera systems, and computer vision. After providing information about the use of IMU sensors in autonomous vehicles, the finite element analysis of the gyroscope sensor by the COMSOL program was performed in this study.
Part of the book: Autonomous Vehicle and Smart Traffic