Research on multi-sensor data fusion algorithm for unmanned vehicles under extreme conditions

Aiming at the problem of insufficient accuracy in Simultaneous Localization and Mapping vehicle robot using a single sensor extreme environment scenes, according to characteristics sensors, method fusing data lidar inertial sensors is proposed, system designed, positioning principle elaborated. Two fusion algorithms, weighted Kalman filter, are mainly studied, experiments prove that filter algorithm has higher accuracy.