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A mapping-based redirected walking algorithm for large-scale VR

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Abstract

In VR, the size mismatch between virtual and real space is one of the difficulties, so walking through a large-scale VR scene in a real small area (tracking space) is a challenging problem. We design a novel redirected walking (RDW) algorithm based on a mapping approach to direct users away from the boundary of the tracking area with low rotational distortion. First, the virtual path is decomposed into a set of segments. Then, each segment is mapped into curves and stitched together by minimizing the internal energy with smoothness constraints between adjacent curves. Ultimately, we obtain continuous and smooth curves in the real space. We conduct both simulated and live-user studies to validate the algorithm. Experimental results show that our algorithm has no reset compared with other RDW methods, can significantly speed up and smooth the navigation, reduce perceptual distortion, and show the potential to steer multi-user simultaneously in realtime.

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Funding

The funding was provided by National Natural Science Foundation of China (Grant no. 61902225); Natural Science Foundation of Shandong Province (Grant no. ZR2021LZL011).

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Correspondence to Meng Qi.

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All authors declare that they have the consent regarding the publication of this manuscript. We certify that this manuscript is original and has not been published. No data have been fabricated or manipulated (including images) to support the conclusions. The submission has been received explicitly from all co-authors. The authors declare that they have no conflict of interest. This article does not contain any studies with human participants or animals performed by any of the authors. Informed consent was obtained from all individual participants included in the study.

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Qi, M., Liu, Y. & Cui, J. A mapping-based redirected walking algorithm for large-scale VR. Virtual Reality 27, 2745–2756 (2023). https://doi.org/10.1007/s10055-023-00841-9

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