基于Lucas-Kanade的光流算法评价

Liu Xiaochen, L. Xiaojie, Xiong Yufeng, Yan Jiangtao, Wang Yubo, W. Linwei, Liu Jun, Shen Chong, Tang Jun
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引用次数: 1

摘要

由于基于金字塔Lucas-Kanade (LK)的光流算法的性能会受到不同环境的影响,本文分别对金字塔LK算法在城市、平原和山区的模拟精度进行了评估。仿真结果表明,LK算法在大运动量下仍能保持较高的精度,并根据算法的精度给出了无人机在不同环境下的飞行策略,以保证光流传感器在不同环境下的高精度。例如,在城市环境中,当无人机飞行速度为12m/s-l5m/s时,最佳飞行高度为80m-l50m。在不同的环境下进行了仿真验证实验。仿真结果表明,所提出的无人机飞行策略总体正确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Lucas-Kanade based optical flow algorithm
Since the performance of pyramid Lucas-Kanade (LK) based optical flow algorithm would be influenced by different environments, this paper evaluates the simulation accuracy of the pyramid LK algorithm in cities, plains and mountains, respectively. The simulation results show that the LK algorithm can maintain high precision under the large motion, and the flight strategy of UAV under different environment is given according to the algorithm’s accuracy, In order to ensure the high accuracy of the optical flow sensor in different environments. For example, in the urban environment, when the UAV’s velocity is 12m/s-l5m/s, the best altitude is 80m-l50m. Simulation verification experiments are carried out in different environments. The simulation results show that the proposed UAV flight strategy is generally correct.
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