Overview of Vision-based Velocity Measurement Techniques in Trunk Canals

Di FAN; Yu-hui ZHOU; Hui-min SUN; Yi-ming LI; Xiao-jie WU; A-ying WEI

doi:10.12404/j.issn.1671-1815.2404998

Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (19) : 7897-7908 DOI: 10.12404/j.issn.1671-1815.2404998

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Overview of Vision-based Velocity Measurement Techniques in Trunk Canals

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Abstract

The velocity measurement of trunk canals and rivers is regarded as an important basis for water resources management and flood prediction. The techniques and methods for trunk canals velocity measurement based on machine vision were analyzed and synthesized. Particular focus was placed on reviewing the principles, technologies, and recent developments of particle image velocimetry, particle tracking velocimetry, space-time image velocimetry, optical flow methods, and deep learning-based flow measurement methods in recent years. Finally, the existing challenges and issues were addressed, and potential future development directions were proposed.

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machine vision / velocity measurement of trunk canal / deep learning / particle image velocimetry / space-time image velocimetry

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Di FAN, Yu-hui ZHOU, Hui-min SUN, Yi-ming LI, Xiao-jie WU, A-ying WEI. Overview of Vision-based Velocity Measurement Techniques in Trunk Canals. Science Technology and Engineering, 2025, 25(19): 7897-7908 DOI:10.12404/j.issn.1671-1815.2404998