Vehicle Path Tracking Using Inertial Measurement Unit (IMU) Sensors

This research focuses on the development and implementation of a vehicle motion capture system using the Inertial Measurement Unit (IMU) as the sole source of inertial data, with the ESP32 as the main controlling microcontroller. The IMU is used to measure the linear acceleration and angular velocity of the vehicle in three dimensions, which are then processed to estimate the vehicle's position and orientation. The ESP32 was chosen because of its powerful capabilities in data processing, low power consumption, and wireless connectivity that allows real-time data transmission. The system aims to provide an efficient and cost-effective solution for motion capture applications, especially in environments where GPS technology is unreliable, such as inside tunnels or tall buildings. By processing data using filter algorithms, this system tries to reduce cumulative errors such as drift, which generally occur in IMU sensors. Initial test results show that the system can achieve a sufficient level of accuracy for basic navigation and vehicle movement monitoring applications. This abstract explores the potential and limitations of IMU and ESP32-based motion capture approaches and discusses the implications and possibilities for further developments in autonomous vehicle technology and navigation systems.