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A Novel Intelligence-Based Pan-Tilt Platform System for Measuring the Trajectories of Parachute

机译:一种基于智能的新型俯仰平台,用于测量降落伞的弹道

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We design a pan-tilt platform system for measuring the trajectories of multiple targets automatically, aiming at obtaining the trajectories of multi-targets in the airdrop test, such as the trajectories of the airplane, the pilot chute and the main chute. We also design a multi-targets switch tracking algorithm, or MTST, which based on YOLO and SiamRPN++ tracking algorithm for this pan-tilt platform system. Unlike the existing Multiple Object Tracking (MOT) that tracks several targets simultaneously, the proposed MTST tracks target one by one. As in an airdrop test, the airplane in the scene will be tracked first, then the tracking target will be switched to pilot chute when it is ejected from the airplane. The main chute will be the tracking target when it is thrown from the pilot chute. A large number of experiments prove that the proposed MTST has high anti-jamming capability and high reliability.
机译:我们设计了一种云台平台系统,用于自动测量多个目标的轨迹,旨在获得空投测试中多个目标的轨迹,例如飞机,飞行员滑道和主滑道的轨迹。我们还针对此云台平台系统设计了一种基于YOLO和SiamRPN ++跟踪算法的多目标开关跟踪算法或MTST。与现有的同时跟踪多个目标的多对象跟踪(MOT)不同,拟议的MTST逐一跟踪目标。就像在空投测试中一样,将首先对现场的飞机进行跟踪,然后在将其从飞机上弹出时将跟踪目标切换为飞行员降落伞。从主控溜槽投掷主溜槽时,它将成为跟踪目标。大量实验证明,所提出的MTST具有较高的抗干扰能力和较高的可靠性。

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