This study delves into the flight behaviors of Budgerigars (Melopsittacus undulatus) to gain insights into their flight trajectories and movements. Using 3D reconstruction from stereo video camera recordings, we closely examine the velocity and acceleration patterns during three flight motion takeoff, flying and landing. The findings not only contribute to our understanding of bird behaviors but also hold significant implications for the advancement of algorithms in Unmanned Aerial Vehicles (UAVs). The research aims to bridge the gap between biological principles observed in birds and the application of these insights in developing more efficient and autonomous UAVs. In the context of the increasing use of drones, this study focuses on the biologically inspired principles drawn from bird behaviors, particularly during takeoff, flying and landing flight, to enhance UAV capabilities. The dataset created for this research sheds light on Budgerigars' takeoff, flying, and landing techniques, emphasizing their ability to control speed across different situations and surfaces. The study underscores the potential of incorporating these principles into UAV algorithms, addressing challenges related to short-range navigation, takeoff, flying, and landing.

翻译：本研究深入探究虎皮鹦鹉（Melopsittacus undulatus）的飞行行为，以解析其飞行轨迹与运动模式。通过立体摄像机记录的3D重建技术，我们精确分析了起飞、飞行与着陆三个阶段的速度与加速度特征。研究结果不仅深化了对鸟类行为的理解，更对无人机（UAV）算法的发展具有重要启示。本工作致力于弥合鸟类生物力学原理与无人机技术应用之间的鸿沟，旨在将生物学洞察转化为提升无人机自主性与效率的解决方案。随着无人机应用的日益普及，本研究聚焦于从鸟类（特别是起降与巡航阶段）行为中提取仿生学原理，以增强无人机性能。为此构建的数据集揭示了虎皮鹦鹉在起飞、巡航及着陆过程中的运动策略，凸显其在不同情境与表面条件下精准调控速度的能力。研究进一步论证了将这些原理融入无人机算法的潜力，为应对短程导航、起降控制等关键挑战提供了新思路。