Immersive positioning and measuring method in complex and narrow space
Short abstract:
As the manufacturing industry moves toward digitalization and artificial intelligence, higher demands are brought forward in large-scale metrology. However, there exist disadvantages in terms of poor portability and limited flexibility when using large-scale metrology instruments such as laser trackers and iGPS, especially in complex and narrow spaces. An immersive positioning and measuring method is proposed by the integration of visual measurement, inertial measurement and augmented reality (AR). To enable hands-free measurement, an integrated helmet is developed, which mainly includes global positioning cameras, local measuring cameras, inertial measurement unit (IMU), and projector. As all the sensors in the helmet are calibrated in a unified coordinate system, the measurement results can be transformed to the global coordinate system, and the projector also accurately overlays the measurement results and auxiliary information onto the measured object. Furthermore, to deal with fast and intricate movements, a robust visual-inertial tracking framework is implemented by employing an IMU and the extended Kalman filter (EKF). Experiments are conducted in 5m × 5m × 3m measurement field, and the overall accuracy is better than 1 mm, which demonstrates good performance of the immersive positioning and measuring method.
