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eNauka >  Results >  Pose Estimation Accuracy Improvement Using Different Orientation Representations With Neural Networks: Case Study for the VIVE HTC Tracker
Title: Pose Estimation Accuracy Improvement Using Different Orientation Representations With Neural Networks: Case Study for the VIVE HTC Tracker
Authors: Romaniuk, Sławomir; Petrović, Milica  ; Wolniakowski, Adam; Trochimczuk, Roman; Masłowski, Grzegorz
Issue Date: 2026
Publication: The Journal of Field Robotics
ISSN: 1556-4959 Journal of Field Robotics Search Idenfier
Publisher: 2026 Wiley Periodicals LLC.
Type: Article
Collation: vol. 43 br. 5
DOI: 10.1002/rob.70247
WoS-ID: 001773108300001
Scopus-ID: 2-s2.0-105039891495
URI: https://enauka.gov.rs/handle/123456789/1045698
https://machinery.mas.bg.ac.rs/handle/123456789/8882
Project: Ministerstwo Edukacji i Nauki, Grant/Award Number: MEiN/2022/DPI/2577;
Science Fund of the Republic of Serbia, Grant/Award Number: 17801;
Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200105 (Univerzitet u Beogradu, Mašinski fakultet)
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