Sensing Algorithm to Estimate Slight Displacement and Posture Change of Target from Monocular Images

Various types of displacement sensors, which measure position changes of object, have been developed depending on the type and shape of the object under measurement, measurement range of the amount of displacement, required accuracy, and application. We are developing a new type of displacement sensor that is image-based, capable of measuring changes in 6DOF (3D position and orientation) of an object simultaneously, and is compact and low-cost. This displacement sensor measures the 6DOF of an object using images obtained by a monocular vision system. To confirm the usefulness of the proposed method, experimental measurements were conducted using a simple and inexpensive optical system. In this experiment, we were able to accurately measure changes of about 0.25 mm in displacement and 0.1 deg in inclination of the object at a distance of a few centimeters, and thus confirming the usefulness of the proposed method.

Automated summary

A new image-based displacement sensor has been developed to simultaneously measure the 3D position and orientation changes of an object. This sensor is compact, low-cost, and uses a monocular vision system to obtain images for measurement. Experimental results demonstrate the accuracy of measuring displacement changes of about 0.25 mm and inclination angles of about 0.1 degrees at a distance of a few centimeters.