适应性补充过器用于混合内部-外部-外部-内HMD跟踪与平滑过渡
IEEE transactions on visualization and computer graphics
|September 19, 2024
概括
本研究介绍了一种适应性补充过器,用于虚拟现实中的混合头戴式显示器 (HMD) 追踪. 它确保在跟踪信号恢复期间的顺过渡,提高用户舒适性和减少错误.
科学领域:
- 计算机科学 计算机科学
- 人与计算机的交互
- 机器人技术 机器人技术 机器人技术
背景情况:
- 虚拟现实 (VR) 中的头戴显示器 (HMD) 通常使用内外跟踪 (视觉SLAM).
- 外置系统 (例如,移动捕捉) 提供了替代追踪,但容易发生闭塞和盲点.
- 混合追踪结合了内外和外在的方法来克服个人限制.
研究的目的:
- 开发用于混合HMD跟踪的传感器融合算法,以确保跟踪模式之间的顺利过渡.
- 为了减轻因追踪不连续性而引起的用户不适,当恢复外部信号时.
- 提供一个可配置的解决方案,平衡用户体验和跟踪精度.
主要方法:
- 建议在混合HMD跟踪中用于传感器融合的自适应补充过器.
- 在房间规模的VR环境中实施了一个用户研究,模拟了外部-内跟踪信号损失.
- 与扩展卡尔曼波器和最先进的补充波器对比,评估了系统的性能.
主要成果:
- 与扩展卡尔曼波器相比,自适应补充波器显示了更好的用户体验.
- 与标准补充过器相比,跟踪错误减少了,同时保持了类似的用户体验质量.
- 拟议的方法提供了可配置的参数,以平衡用户体验和跟踪错误.
结论:
- 适应性补充过器有效地使混合型HMD跟踪系统的顺过渡成为可能.
- 这种方法通过防止令人震惊的视角变化,提高了用户在VR中的舒适度.
- 该方法为优化VR跟踪性能提供了灵活的解决方案.
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