HTC Vive Tracker: Accuracy for Indoor Localization
| Autor: | John J. Prevost, Abhijit Majumdat, Mo Jamshidi, Patrick Benavidez, Jonathan Lwowski |
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| Rok vydání: | 2020 |
| Předmět: |
Robot kinematics
Computer Networks and Communications business.industry Computer science 05 social sciences Real-time computing 020206 networking & telecommunications Human Factors and Ergonomics Robotics 02 engineering and technology Virtual reality 050105 experimental psychology Computer Science Applications Human-Computer Interaction Odometry Control and Systems Engineering Assisted GPS 0202 electrical engineering electronic engineering information engineering Global Positioning System Local environment 0501 psychology and cognitive sciences Artificial intelligence Localization system business |
| Zdroj: | IEEE Systems, Man, and Cybernetics Magazine. 6:15-22 |
| ISSN: | 2333-942X 2380-1298 |
| DOI: | 10.1109/msmc.2020.2969031 |
| Popis: | Researchers have extensively explored indoor localization in recent years. Robotic applications often require precise positioning, which is difficult when access to a GPS is limited or compromised. Many of the existing approaches require either prior knowledge of the local environment and fixed landmarks or complex and expensive hardware to achieve the necessary degree of accuracy. In this article, we examine the use of the HTC virtual reality hardware along with our novel approach, VIVEPOSE, to perform indoor robotic localization. We then compare the accuracy of our proposed indoor localization system to current approaches that use traditional odometry sensor-based localization. Finally, we present and demonstrate a leader-follower approach using VIVEPOSE and show how the HTC Vive tracker can be successful for indoor localization for a robotics application. |
| Databáze: | OpenAIRE |
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