A Vision Based UAV Pesticide Mission System

Haifeng, Zhu; Wei, Huabo; Wang, Min; Zhu, Huizhu; Yu, Li

doi:10.1109/gncc42960.2018.9019055

Cited by 2 publications

(1 citation statement)

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“…A non-optimal approach to solving the problems with non-Gaussian functions, in the frame of linear filters, is the extended Kalman filter (EKF). The EKF implements a Kalman filter for system dynamics that results from the linearization of the original nonlinear filter dynamics around the previous state-variable estimates [ 25 , 26 , 27 ]. In this work, EKF was conducted to cope with the prediction of velocity, acceleration, and jerk (the third derivative of position) in the moving target.…”

Section: Methodsmentioning

confidence: 99%

Methodology for Large-Scale Camera Positioning to Enable Intelligent Self-Configuration

Zhao

Zhang

2022

Sensors

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The development of a self-configuring method for efficiently locating moving targets indoors could enable extraordinary advances in the control of industrial automatic production equipment. Being interactively connected, cameras that constitute a network represent a promising visual system for wireless positioning, with the ultimate goal of replacing or enhancing conventional sensors. Developing a highly efficient algorithm for collaborating cameras in the network is of particular interest. This paper presents an intelligent positioning system, which is capable of integrating visual information, obtained by large quantities of cameras, through self-configuration. The use of the extended Kalman filter predicts the position, velocity, acceleration and jerk (the third derivative of position) in the moving target. As a result, the camera-network-based visual positioning system is capable of locating a moving target with high precision: relative errors for positional parameters are all smaller than 10%; relative errors for linear velocities (vx, vy) are also kept to an acceptable level, i.e., lower than 20%. This presents the outstanding potential of this visual positioning system to assist in the industry of automation, including wireless intelligent control, high-precision indoor positioning, and navigation.

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Section: Methodsmentioning

confidence: 99%