mlsanityData to 7 Oct 2026

A Wide-area, Low-latency, and Power-efficient 6-DoF Pose Tracking System for Rigid Objects

arXiv 2109.07428 ↗First posted 15 Sep 2021cs.RO cs.CV cs.SYcited by 0

Not on the map. Why?

Abstract (arXiv)

Position sensitive detectors (PSDs) offer possibility to track single active marker's two (or three) degrees of freedom (DoF) position with a high accuracy, while having a fast response time with high update frequency and low latency, all using a very simple signal processing circuit. However they are not particularly suitable for 6-DoF object pose tracking system due to lack of orientation measurement, limited tracking range, and sensitivity to environmental variation. We propose a novel 6-DoF pose tracking system for a rigid object tracking requiring a single active marker. The proposed system uses a stereo-based PSD pair and multiple Inertial Measurement Units (IMUs). This is done based on a practical approach to identify and control the power of Infrared-Light Emitting Diode (IR-LED) active markers, with an aim to increase the tracking work space and reduce the power consumption. Our proposed tracking system is validated with three different work space sizes and for static and dynamic positional accuracy using robotic arm manipulator with three different dynamic motion patterns. The results show that the static position root-mean-square (RMS) error is 0.6mm. The dynamic position RMS error is 0.7-0.9mm. The orientation RMS error is between 0.04 and 0.9 degree at varied dynamic motion. Overall, our proposed tracking system is capable of tracking a rigid object pose with sub-millimeter accuracy at the mid range of the work space and sub-degree accuracy for all work space under a lab setting.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 32 references that are in the map. First posted on arXiv 15 Sep 2021.

Builds on

2 of 32 references.

References · 2

  1. 2019PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Trackingcited by 91
  2. 2017Deep 6-DOF Trackingcited by 13

Built on by

Not cited yet.