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Article | 01-September-2014

UNMANNED AERIAL VEHICLE PATH PLANNING BASED ON TLBO ALGORITHM

Path planning of unmanned aerial vehicle (UAV) is an optimal problem in the complex combat field environment. Teaching-Learning-Based Optimization (TLBO) algorithm is presented under the inspiration of the teaching-learning behavior in a classroom. In this paper, this algorithm is applied to design a path by the search angle and distance, by which a better path at higher convergence speed and shorter route can be found. Finally experimental comparison results show that TLBO algorithm is a

Guolin Yu, Hui Song, Jie Gao

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1310–1325

Research Article | 15-February-2020

Automated Traffic Analysis in Aerial Images

In this work an automated traffic analysis in aerial image sequences recorded by an unmanned aerial vehicle (UAV) has been developed, which provides the trajectories of the vehicles especially during overtaking. Methods of photogrammetry and image processing are used to detect the vehicles and to determine and track their positions. Camera calibration is necessary in order to transform image coordinates into world coordinates.

Tom Hößler, Tom Landgraf

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5

Article | 01-June-2016

THREE-STEP REGISTRATION AND MULTI-THREAD PROCESSING BASED IMAGE MOSAIC FOR UNMANNED AERIAL VEHICLE APPLICATIONS

In the area of image mosaic for unmanned aerial vehicle (UAV) applications, the problems of precision and time consumption have drawn many scholars’ attention. To address above two problems, a novel algorithm based on three-step registration and multi-thread processing is proposed in this paper. This method divides the image registration into three steps to improve the precision. Firstly, based on the SIFT features, the fast index mechanism k-d tree and the Euclidean distance are utilized to

Hongguang Li, Wenrui Ding, Yufeng wang

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1090–1109

Article | 07-May-2018

Research and Implementation of the Key Technology of UAV Aerial Image Transmission

With the maturity of UAV technology, especially the cost of the four rotor unmanned aerial vehicle is decreasing, the unmanned aerial vehicle (UAV) will be a trend in the future. At the same time, because ZigBee has the characteristics of low cost, low speed and short transmission distance, we use ZigBee to achieve the transmission of image files between UAV and ground receiving system computers. This paper introduces the system design and software program module hardware node design, the first

Fan Yijun, Lai Yufeng

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 2, 75–79

Article | 01-December-2015

AMN-PSO METHOD FOR JAMMING UNMANNED AERIAL VEHICLE NETWORK

ZHANG Yu, LIU Feng, HAN Jie

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2042–2064

Article | 07-April-2018

UAV Dynamic Simulation Model Establishment Method Based on Simulink/Aerosim

Aiming at the problem of UAV dynamic modeling with high difficulty and poor timeliness, a UAV dynamic model based on Simulink/Aerosim rapid method is established in this paper. Based on the analysis of UAV system internal structure, using Simulink/Aerosim toolbox to build six degrees of freedom dynamic simulation model of unmanned aerial vehicle and the setting of relevant parameters and RTW environment configuration process is analyzed, finally, by analyzing the typical flight parameters of a

Chen GuoShao, Yang Sen

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 1, 29–37

Research Article | 21-April-2017

Compact vertical take-off and landing aerial vehicle for monitoring tasks in dense urban areas

Sergii FIRSOV, Igor KULIK

Transport Problems, Volume 10 , ISSUE 3, 29–34

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