Hardware Accelerated Marker-Based Accurate Rigid Object 6-DoF Pose Tracking System

Augmented Reality (AR) and Mixed Reality (MR) have gained more and more awareness among consumers in recent years. However, pose accuracy, stability, and latency still left a lot to be desired when it comes to users’ experiences and acceptance. This work focuses on marker-based rigid object pose accuracy and computation latency. We developed a flexible marker-based accurate rigid object 6-DoF pose tracking system. First, a calibration algorithm for marker pose configuration is proposed after the multiple-marker system is setup for a target application. Next, a pose tracking system is developed to achieve sub-mm performance with the calibrated marker pose configuration. Moreover, a high-throughput pose engine hardware accelerator is proposed to achieve real-time performance.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043469
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
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article

Hardware Accelerated Marker-Based Accurate Rigid Object 6-DoF Pose Tracking System

Shao‐Yi Chien, Liyang Huang, Han-Yu Weng
Robotics and Automated Systems
article

Hardware Accelerated Marker-Based Accurate Rigid Object 6-DoF Pose Tracking System

Shao‐Yi Chien, Liyang Huang, Han-Yu Weng
article en

Abstract

Augmented Reality (AR) and Mixed Reality (MR) have gained more and more awareness among consumers in recent years. However, pose accuracy, stability, and latency still left a lot to be desired when it comes to users’ experiences and acceptance. This work focuses on marker-based rigid object pose accuracy and computation latency. We developed a flexible marker-based accurate rigid object 6-DoF pose tracking system. First, a calibration algorithm for marker pose configuration is proposed after the multiple-marker system is setup for a target application. Next, a pose tracking system is developed to achieve sub-mm performance with the calibrated marker pose configuration. Moreover, a high-throughput pose engine hardware accelerator is proposed to achieve real-time performance.

National Taiwan University (TW)
Openalex Percentile: Top 83%
Robotics and Automated Systems
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