Sensor Fusion Module Using IMU and GPS Sensors For Autonomous Car

Autonomous vehicle employ multiple sensors and algorithms to analyze data streams from the sensors to accurately interpret the surroundings. The aim of the research presented in this paper is to design a sensor fusion algorithm that predicts the next state of the position and orientation of Autonomous vehicle based on data fusion of IMU and GPS. This is essential to achieve the highest safety and security standards through enhanced performance that enable consistency, accuracy and reliability. Traditionally, for vehicle navigation, GPS standalone solutions have been utilized which lack to scan the surrounding environment. Therefore, the data from an Inertial Measurement unit (IMU) is fused and correlated with GPS measurements to overcome the limitations of GPS based navigation system.