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A Technical Framework for Selection of Autonomous uav navigation Technologies and Sensors

Computers, Materials & Continua 2021年第8期68卷 2771-2790页

作者： Izzat Al-Darraji Morched Derbali Houssem Jerbi Fazal Qudus Khan Sadeeq Jan Dimitris Piromalis Georgios Tsaramirsis Department of Automated Manufacturing University of BaghdadBaghdadIraq Department of Mechanical Engineering University of KirkukIraq Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Industrial Engineering College of EngineeringUniversity of Ha’ilHail1234Saudi Arabia Department of Computer Science&IT University of Engineering&Technology PeshawarPakistan Department of Automation University of West AtticaAthensGreece Abu Dhabi Women’s College Higher Colleges of TechnologyAbu DhabiUAE

The autonomous navigation of an Unmanned Aerial Vehicle(uav)relies heavily on the navigation *** uav’s level of autonomy depends upon the various navigation systems,such as state measurement,mapping,and obstacle *** the correct components is a critical part of the design ***,this can be a particularly difficult task,especially for novices as there are several technologies and components available on the market,each with their own individual advantages and *** example,satellite-based navigation components should be avoided when designing indoor *** them in the design brings no added value to the final product and will simply lead to increased cost and power *** issue is the number of vendors on the market,each trying to sell their hardware solutions which often incorporate similar *** aim of this paper is to serve as a guide,proposing various methods to support the selection of fit-for-purpose technologies and components whilst avoiding system layout *** paper presents a study of the various navigation technologies and supports engineers in the selection of specific hardware solutions based on given *** selection methods are based on easy-to-follow flow charts.A comparison of the various hardware components specifications is also included as part of this work.

关键词： uav navigation sensors selection uav navigation autonomous navigation uav development navigation sensors study navigation systems mapping systems obstacle-avoidance systems

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A multiscale transform denoising method of the bionic polarized light compass for improving the unmanned aerial vehicle navigation accuracy

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Chinese Journal of Aeronautics 2022年第4期35卷 400-414页

作者： Donghua ZHAO Jun TANG Xindong WU Jing ZHAO Chenguang WANG Chong SHEN Jun LIU Key Laboratory of Instrumentation Science&Dynamic Measurement Ministry of EducationSchool of Instrument and ElectronicsNorth University of ChinaTaiyuan 03005JPR China School of Information and Communication Engineering North University of ChinaTaiyuan 030051PR China

In recent years, the bionic polarized light compass has been widely studied for the unmanned aerial vehicle navigation. However, it is found from the obtained investigation results that a polarized light compass with a sensitive and high dynamic range polarimeter still provides inferior output precision of the heading angle due to the presence of the noise generating from the *** noise is existed not only in the angle of the polarization image acquired by polarimeters but also in the output heading data, which leads to a sharp reduction in the accuracy of a polarized light compass. Herein, we present noise analysis and a novel multiscale transform denoising method of a polarized light compass used for the unmanned aerial vehicle navigation. Specifically, a multiscale principle component analysis utilizing one-dimensional image entropy as classification criterion is directly implemented to suppress the noise in the acquired polarization image. Subsequently, a multiscale time–frequency peak filtering method using the sample entropy as classification criterion is applied for the output heading data so as to further increase the heading measurement accuracy from the denoised image above. These two approaches are combined to significantly reduce the heading error affected by different types of noises. Our experimental results indicate the proposed multiscale transform denoising method exhibits high performance in suppressing the noise of a polarized light compass used for the unmanned aerial vehicle navigation compared to existing prior arts.

关键词： Denoising Multi-scale transform Orientation Polarized light compass uav navigation

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A Method for Evaluating the Performance of Unmanned Aerial navigation Systems Based on Fuzzy Decision Trees

A Method for Evaluating the Performance of Unmanned Aerial N...

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第十三届中国卫星导航年会

作者： Changyuan Chen Chunlin Shi Teng Liu Haojie Li Qiyang Li Li Ma Information Engineering University Northwestern Polytechnical University Changchun University of Science and Technology

In the process of application, unmanned aerial vehicles（uavs） are faced with the threat of a complex electromagnetic environment, causing the airborne navigation system to fail to achieve ideal working conditions, and seriously restricting the overall effectiveness of the uav system. Therefore, accurate assessment of uav navigation system performance is an important prerequisite for scientific decision-making on the use of uavs in complex environments in the future. In system design and experimentation, the more realistic electromagnetic interference environments that uavs may be exposed to are difficult to build, resulting in insufficient data being collected to verify uav navigation system performance. However, as real data from uavs is continuously accumulated in various application scenarios at a later stage, it is necessary to explore a data mining-based method for uav navigation system performance evaluation. In this study, a decision tree algorithm was used to construct a uav navigation performance level classification assessment model. uav performance was analysed through uav navigation capability and survivability indicators. Finally, simulation experiments were conducted to further develop the construction and testing of the decision tree model. The experimental results showed that the model accuracy is above 90%, validating the feasibility of the method.

关键词： uav navigation Electromagnetic Environment Performance Evaluation Data Mining Decision Tree Algorithm

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