Design of Indoor Large-Scale Multi-Target Precise Positioning and Tracking System

In large-scale immersive virtual reality (VR) environments, such as a CAVE, one of the most common problems is tracking the position of the user’s head while he or she is immersed in this environment to reflect perspective changes in the synthetic stereoscopic images. In this paper, the authors describe the theoretical foundations and engineering approach adopted in the development of an infrared-optical tracking system designed for large scale immersive Virtual Environments (VE) or Augmented Reality (AR) settings. The system is capable of tracking independent retro-reflective markers arranged in a 3D structure in real time, recovering all possible 6DOF. These artefacts can be adjusted to the user’s stereo glasses to track his or her head while immersed or used as a 3D input device for rich human-computer interaction (HCI). The hardware configuration consists of 4 shutter-synchronized cameras attached with band-pass infrared filters and illuminated by infrared array-emitters. Pilot lab results have shown a latency of 40 ms when simultaneously tracking the pose of two artefacts with 4 infrared markers, achieving a frame-rate of 24.80 fps and showing a mean accuracy of 0.93mm/0.51º and a mean precision of 0.19mm/0.04º, respectively, in overall translation/rotation, fulfilling the requirements initially defined.

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Multi-Sensor Data Fusion Based on ADS-B and MLAT in Approach

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.602-605.2491 ◽

2014 ◽

Vol 602-605 ◽

pp. 2491-2494

Author(s):

Yu Lu ◽

Rong Shun Huang ◽

Zi Li Xu

Keyword(s):

Data Fusion ◽

High Precision ◽

Traffic Control ◽

Kalman Filters ◽

Tracking System ◽

High Accuracy ◽

Experimental Results ◽

Sensor Data ◽

Multi Sensor Data Fusion ◽

Fusion Framework

ADS-B (Automatic Dependent Surveillance - Broadcast) and MLAT (Multilateration) are the main surveillance techniques for ATC (Air Traffic Control), and will play an important role in the future's tracking system. The fusion between ADS-B and MLAT is able to achieve more accurate tracking. In views of the data characters of these two techniques, this paper designs a concrete fusion framework with multi-levels based on federal Kalman filters to fuse ADS-B and MLAT in approach. Under this framework, both ADS-B and MLAT data are processed intensively to achieve high accuracy. Experimental results based on simulation and practical data illustrate the algorithm can achieve high precision.

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Large-Scale Optical Tracking System

2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) ◽

10.1109/ismar-adjunct.2019.000-8 ◽

2019 ◽

Author(s):

Dong Li ◽

Dongdong Weng ◽

Yue Li ◽

Hang Xun

Keyword(s):

Large Scale ◽

Tracking System ◽

Optical Tracking ◽

Optical Tracking System

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Target tracking system for multi-sensor data fusion

2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) ◽

10.1109/itnec.2017.8285099 ◽

2017 ◽

Cited By ~ 5

Author(s):

Ke Ma ◽

Hanguang Zhang ◽

Rentao Wang ◽

Zhimin Zhang

Keyword(s):

Data Fusion ◽

Target Tracking ◽

Tracking System ◽

Sensor Data ◽

Sensor Data Fusion ◽

Multi Sensor Data Fusion

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Multi-sensor Data Fusion for Optical Tracking of Head Pose

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2010.01239 ◽

2010 ◽

Vol 36 (9) ◽

pp. 1239-1249 ◽

Cited By ~ 2

Author(s):

Bin LUO ◽

Yong-Tian WANG ◽

Yue LIU

Keyword(s):

Data Fusion ◽

Optical Tracking ◽

Sensor Data ◽

Head Pose ◽

Sensor Data Fusion ◽

Multi Sensor Data Fusion

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Accurate Infrared Tracking System for Immersive Virtual Environments

Innovative Design and Creation of Visual Interfaces ◽

10.4018/978-1-4666-0285-4.ch020 ◽

2012 ◽

pp. 318-343

Author(s):

Filipe Gaspar ◽

Rafael Bastos ◽

Miguel Sales

Keyword(s):

Virtual Environments ◽

Large Scale ◽

Tracking System ◽

3D Structure ◽

Optical Tracking ◽

Frame Rate ◽

Input Device ◽

Optical Tracking System ◽

Immersive Virtual Environments ◽

Hardware Configuration

In large-scale immersive virtual reality (VR) environments, such as a CAVE, one of the most common problems is tracking the position of the user’s head while he or she is immersed in this environment to reflect perspective changes in the synthetic stereoscopic images. In this paper, the authors describe the theoretical foundations and engineering approach adopted in the development of an infrared-optical tracking system designed for large scale immersive Virtual Environments (VE) or Augmented Reality (AR) settings. The system is capable of tracking independent retro-reflective markers arranged in a 3D structure in real time, recovering all possible 6DOF. These artefacts can be adjusted to the user’s stereo glasses to track his or her head while immersed or used as a 3D input device for rich human-computer interaction (HCI). The hardware configuration consists of 4 shutter-synchronized cameras attached with band-pass infrared filters and illuminated by infrared array-emitters. Pilot lab results have shown a latency of 40 ms when simultaneously tracking the pose of two artefacts with 4 infrared markers, achieving a frame-rate of 24.80 fps and showing a mean accuracy of 0.93mm/0.51º and a mean precision of 0.19mm/0.04º, respectively, in overall translation/rotation, fulfilling the requirements initially defined.

Download Full-text