Inertial navigation system is an autonomous navigation system that uses inertial sensors (IMUs) to measure the specific force and angular velocity information of the carrier, combined with given initial conditions, and integrates information from GNSS and other systems to calculate real-time parameters such as velocity, position, and attitude.
When a car is driving in a location where satellite information is disrupted or unable to be transmitted, such as under tunnels, overpasses, urban canyons, or shaded roads. When satellite navigation fails to function properly, inertial sensors can continuously provide position information to help the vehicle navigation function properly
Inertial navigation, as a fully autonomous navigation technology that does not rely on any external information, is being rapidly introduced into autonomous driving technology and has become one of the core sensors of autonomous driving. After the introduction of high_precision MEMS IMU modules, using data output combined with vehicle kinematic models, it can ensure that the autonomous driving controller obtains high update rate, high accuracy, and high reliability pose information in any situation, reduce the dependence on external environment availability in the autonomous driving control decision_making process, greatly improve the safety and reliability of autonomous driving, and ensure the safety response and pose information redundancy of autonomous driving in special extreme road conditions such as GNSS signal occlusion, visual/LiDAR failure, etc.
Unlike laser gyroscopes and fiber optic gyroscopes in the military industry, vehicle grade IMU gyroscopes require the use of MEMS technology processes to make them compact and cost_effective. In addition, due to the significantly higher precision requirements compared to industrial and consumer grade IMUs, as well as the need to meet complex operating conditions and various temperature calibrations in the automotive industry, the design and manufacturing of automotive grade MEMS IMUs are very difficult.
At present, automatic driving technology has passed its infancy, and more and more users expect autonomous vehicle to integrate into life faster. As a sensor design company with MEMS IMU calibration, testing, data fusion and other core technologies, we have a deep understanding of the urgent needs of automated driving for IMU modules. Starting from practical applications, we always carry out product research and development around improving product technical efficiency and reducing product comprehensive costs, and promote the iteration and maturity of China and even the global autonomous vehicle industry in the technical aspects of vehicle size MEMS IMU selection standards, testing schemes, system architecture and other technical links.