Localization Method for Autonomous Car Using Virtual Sensing System
Supervisor : Prof. Yul Yunazwin Nazaruddin
I worked with five of my friends on conducting research in utilizing neural networks to improve vehicle state estimation. Responsibilities include:
- Designing a sensor fusion module incorporation data from accelerometer, gyroscope, GNSS, and neural networks using the Error-State Kalman Filter algorithm
- Designing a recurrent neural networks model
- Publishing a conference paper
Tools : Python, CARLA Simulator, LaTeX
Libraries : Keras, Tensorflow, Numpy, Matplotlib, Pandas
Fadillah Adamsyah Ma'ani
AI Engineer
My research interests include computer vision and deep learning matter, especially on the area of medical imaging, machine vision, and autonomous vehicles.