移動体向け再帰反射マーカー測位システム Mobile MoCap
Mobile MoCap: Retroreflector Localization On-The-Go
近赤外カメラと再帰反射マーカーを使い、移動中でも高精度な6自由度相対位置推定を実現するシステムを提案し、AprilTagより高精度であることを示した。
著者: Gary Lvov, Mark Zolotas, Nathaniel Hanson, Austin Allison, Xavier Hubbard, Michael Carvajal, Taskin Padir
分類: cs.RO, eess.IV
原文アブストラクト
Motion capture through tracking retroreflectors obtains highly accurate pose estimation, which is frequently used in robotics. Unlike commercial motion capture systems, fiducial marker-based tracking methods, such as AprilTags, can perform relative localization without requiring a static camera setup. However, popular pose estimation methods based on fiducial markers have lower localization accuracy than commercial motion capture systems. We propose Mobile MoCap, a system that utilizes inexpensive near-infrared cameras for accurate relative localization even while in motion. We present a retroreflector feature detector that performs 6-DoF (six degrees-of-freedom) tracking and operates with minimal camera exposure times to reduce motion blur. To evaluate the proposed localization technique while in motion, we mount our Mobile MoCap system, as well as an RGB camera to benchmark against fiducial markers, onto a precision-controlled linear rail and servo. The fiducial marker approach employs AprilTags, which are pervasively used for localization in robotics. We evaluate the two systems at varying distances, marker viewing angles, and relative velocities. Across all experimental conditions, our stereo-based Mobile MoCap system obtains higher position and orientation accuracy than the fiducial approach. The code for Mobile MoCap is implemented in ROS 2 and made publicly available at https://github.com/RIVeR-Lab/mobile_mocap.
