Abstract

Large-scale measurement plays an increasingly important role in intelligent manufacturing. However, existing instruments have problems with immersive experiences. In this paper, an immersive positioning and measuring method based on augmented reality is introduced. An inside-out vision measurement approach using a multi-camera rig with non-overlapping views is presented for dynamic six-degree-of-freedom measurement. By using active LED markers, a flexible and robust solution is delivered to deal with complex manufacturing sites. The space resection adjustment principle is addressed and measurement errors are simulated. The improved Nearest Neighbor method is employed for feature correspondence. The proposed tracking method is verified by experiments and results with good performance are obtained.

Highlights

  • In recent years, there has been growing interest in intelligent manufacturing [1] of large-scale equipment, such as airplane assembly [2], shipbuilding [3], and spacecraft inspection [4]

  • In order to better meet the needs of dynamic 6-DOF measurement for immersive positioning and measuring in manufacturing sites, this paper presents an inside-out measuring method using a multi-camera rig with non-overlapping views

  • On the basis of space resection adjustment method given in the previous section, measurement errors mainly arise from calibration errors of interior orientation parameters, calibration errors of spatial relationship parameters and position errors of LED markers including machining errors and measuring errors

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Summary

Introduction

There has been growing interest in intelligent manufacturing [1] of large-scale equipment, such as airplane assembly [2], shipbuilding [3], and spacecraft inspection [4]. In order to obtain accurate measuring results and merge virtual information with the real object perfectly, high-accuracy global positioning and tracking method is required [10]. Compared with the above methods, vision measurement can realize pixel accuracy and large-scale multi-target tracking with excellent flexibility and convenience, which shows great advantages in industrial manufacturing.

System Hardware
Camera Model
Feature Points Extraction Method
Space Resection Adjustment Method
Feature Points Correspondence Method
Dynamic Measurement Process
Measurement Error Simulation
Experiment
Measurement Repeatability
Distance Measurement
Operating Speed
Findings
Conclusions

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