Highway path roaming based on Gaussian filtering algorithm

Jie Yang; Jun Wang; Congkuan Zhu; Bo Wang

doi:10.1117/12.3029095

16 May 2024 Highway path roaming based on Gaussian filtering algorithm

Jie Yang, Jun Wang, Congkuan Zhu, Bo Wang

Proceedings Volume 13166, International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024); 131660Q (2024) https://doi.org/10.1117/12.3029095
Event: International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024), 2024, Changchun, China

Abstract

The smoothing process of the roaming path coordinates and camera direction at each path point proceeds with the Gaussian filtering algorithm. The resultant connected roaming path exhibits enhanced naturalness and smoothness, mitigating the abruptness between path points. The processed virtual camera, during movement, demonstrates smoother and more fluid changes in direction, thus avoiding sudden camera shifts and reducing both visual jitter and user discomfort. Employing multithreading techniques, a dedicated timer thread ensures the consistent update of the roaming virtual camera's position and direction at a fixed frame rate. This approach diminishes the incongruent effects of virtual camera motion caused by varying frame rates and addresses inconsistencies in user input response times. The proposal enhances the temporal consistency, predictability, and physical simulation stability of the virtual camera's runtime performance. A quantitative assessment of the smoothness of the camera's turning along the path is introduced by calculating the root mean square (RMS) value of camera direction changes. This methodology is applicable for detecting abnormal paths, optimizing paths, and comparing the smoothness of camera turns along distinct routes.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jie Yang, Jun Wang, Congkuan Zhu, and Bo Wang "Highway path roaming based on Gaussian filtering algorithm", Proc. SPIE 13166, International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024), 131660Q (16 May 2024); https://doi.org/10.1117/12.3029095

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