This paper describes a synchronization method to estimate the time offset between a robot arm and a camera mounted on the robot (i.e., robot-camera synchronization) based on reprojection error minimization. In this method, we detect a calibration pattern (e.g., checkerboard) from camera images while projecting the pattern onto the image space with robot hand poses and forward kinematics. Then, we estimate the delay of the camera data by finding the robot-camera time offset which minimizes the reprojection error between the visually detected and the projected patterns. Since the proposed method does not rely on any camera-specific algorithms, it can be easily applied to any new camera models, such as RGB, infrared, and X-ray cameras, by changing only the projection model. Through experiments on a real system, we confirmed that the proposed method shows a good synchronization accu- racy and contributes to the accuracy of a continuous scan data mapping task.

General Robot-Camera Synchronization based on Reprojection Error Minimization

Kenji Koide
;
Emanuele Menegatti
2019

Abstract

This paper describes a synchronization method to estimate the time offset between a robot arm and a camera mounted on the robot (i.e., robot-camera synchronization) based on reprojection error minimization. In this method, we detect a calibration pattern (e.g., checkerboard) from camera images while projecting the pattern onto the image space with robot hand poses and forward kinematics. Then, we estimate the delay of the camera data by finding the robot-camera time offset which minimizes the reprojection error between the visually detected and the projected patterns. Since the proposed method does not rely on any camera-specific algorithms, it can be easily applied to any new camera models, such as RGB, infrared, and X-ray cameras, by changing only the projection model. Through experiments on a real system, we confirmed that the proposed method shows a good synchronization accu- racy and contributes to the accuracy of a continuous scan data mapping task.
2019
Proceeding of ARW & OAGM JOINT WORKSHOP ON “VISION AND ROBOTICS” 2019
978-3-85125-663-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3298185
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