نتایج جستجو برای: maneuvering movement

تعداد نتایج: 158928  

Ali Doostmohammadi Aliakbar Gorji Daronkolaeii Mohammad Bagher Menhaj,

Multiple target tracking (MTT) is taken into account as one of the most important topics in tracking targets with radars. In this paper, the MTT problem is used for estimating the position of multiple targets when a 2-D radar is employed to gather measurements. To do so, the Joint Probabilistic Data Association Filter (JPDAF) approach is applied to tracking the position of multiple targets. To ...

2009
Chien-Wen Lai

An algorithm by combining sensor scheduling with energy efficient for tracking the maneuvering targets with mobile sensor deployed in WSNs (wireless sensor networks) is proposed and investigated in the article. In order to minimize the estimated error, the sensor sequence and the optimal sensor movement are scheduled previously and determined first. Moreover, due to the targets is varying with ...

2002
Mukesh A. Zaveri Uday B. Desai S. N. Merchant

Tracking of maneuvering multiple point-targets in the presence of clutter, in IR image sequences is indeed a challenging task. In real world applications, no apriori knowledge about the movement of the target is available. We propose a method to track maneuvering and nonmaneuvering targets with large motion (±20 pixels) using multiple filter bank in an IR image sequence with occlusion due to cl...

2012
Phongchai Nilas

Today robotic creatures’ development has been utilized for several purposes. There have been inventions about animalliked aquatic robots, however few works were found relating to the study of full behavioral movement of aquatic animals; anguilliform, carangiform, subcarangiform and thunniform. This paper presents a study and design of a robotic fish that simulate locomotion pattern of aquatic a...

Journal: :Applied sciences 2023

To investigate the movement characteristics of fuel within an aircraft’s tank during maneuvering, this study employs numerical simulations using Finite Pointset Method (FPM) with specific boundary conditions and excitation. The simulation results successfully capture complex phenomena free surface fluctuations, surging, rolling, breaking, along corresponding changes in center gravity induced by...

2012
G.Suresh Kumar

Wireless Sensor Networks (WSN) depend on the algorithms and protocols for Communication and Computation. In this paper, the target tracking application in WSNs consist of active sensors. Sensor senses the environment actively by emitting energy and measuring the reflected energy. In the algorithm, a presentation of novel collaborative sensing scheme is used to sense the multiple targets and hig...

Journal: :JNW 2012
Weizheng Ren Yansong Cui

In order to solve speed and accuracy problems of maneuvering target tracking in wireless sensor networks, a Rough Set and neural network Adaptive Interacting Multiple Model (RSAIMM) tracking algorithm was proposed. Based on the establishment of target movement model and rough set neural integration adaptive model, a decision making method which combined rough set theory and neural network was u...

2014
Zengqiang Ma Yacong Zheng Sha Zhong Xingxing Zou

Although Kalman filtering algorithm has been widely used in the maneuvering target tracking, conventional Kalman filtering algorithm always fails to track the maneuvering target as the target changes its movement state suddenly. In order to overcome its disadvantages, an improved Kalman filtering algorithm that based on the adaptive neural fuzzy inference system (ANFIS) is proposed in this pape...

Journal: : 2022

A boatmaster must be well aware of the manoeuvrability his vessel as ability ship's controls to perform a manoeuvre. In "Information" on maneuvering parameters, which is available ship, there no data performance such an important maneuver "sideways movement," often used in mooring maneuvers cramped water area. work, having made some assumptions, solution system equations movement relation consi...

Journal: :CoRR 2017
Tiancheng Li Huimin Chen Shudong Sun Juan M. Corchado

We present a continuous time state estimation framework that unifies traditionally individual tasks of smoothing, tracking, and forecasting (STF), for a class of targets subject to smooth motion processes, e.g., the target moves with nearly constant acceleration or affected by insignificant noises. Fundamentally different from the conventional Markov transition formulation, the state process is...

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