Готові списки джерел за темами / Image-based positioning

Добірка наукової літератури з теми "Image-based positioning"

Автор: Grafiati
Опубліковано: 14 березня 2023

Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями

Оберіть тип джерела:

Зміст

Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Image-based positioning".

Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.

Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.

Статті в журналах з теми "Image-based positioning"

1

Zhang, Wei Guo, and Chuan You Zhang. "Fast Image Positioning Based on Mark." Advanced Materials Research 756-759 (September 2013): 4090–94. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.4090.

Повний текст джерела
Анотація:
MARK tag is a common method in industrial image location. In allusion to the disadvantages of conventional MARK located, such as large numbers of templates training set,no scale and rotation ,harsh conditions and slow processing speed ,a improved matching strategy based on NCC is proposed in this paper. The method search and correct the sole MARK in the template, extract 25 grids normalized feature sequence. Then matching with all contour feature sequences extracted in the target image and finally locate the target MARK. The experiment results show that , the method has much robustness to scale and rotation and can meet the real-time processing requirements
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Klein, Kristina, Franziska Völckner, Hernán A. Bruno, Henrik Sattler, and Pascal Bruno. "Brand Positioning Based on Brand Image–Country Image Fit." Marketing Science 38, no. 3 (May 2019): 516–38. http://dx.doi.org/10.1287/mksc.2019.1151.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Li, X., and J. Wang. "EVALUATING PHOTOGRAMMETRIC APPROACH OF IMAGE-BASED POSITIONING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences I-2 (July 13, 2012): 183–88. http://dx.doi.org/10.5194/isprsannals-i-2-183-2012.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Liu, Xun, He Huang, and Bo Hu. "Indoor Visual Positioning Method Based on Image Features." Sensors and Materials 34, no. 1 (January 31, 2022): 337. http://dx.doi.org/10.18494/sam3562.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Fioravanti, Duccio, Benedetto Allotta, and Andrea Rindi. "Image based visual servoing for robot positioning tasks." Meccanica 43, no. 3 (November 29, 2007): 291–305. http://dx.doi.org/10.1007/s11012-007-9095-1.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Lin, Jian Hua, Gang Fu, and Xue Lu Yao. "An Accurate Positioning Method of Image Target Based on Sub-Pixel." Applied Mechanics and Materials 644-650 (September 2014): 1274–77. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1274.

Повний текст джерела
Анотація:
The conventional image of the mark is mainly targeting the video image within the target pixel level positioning, the positioning accuracy is poor, and is easily affected by noise. To this end, the introduction of a Canny edge detection and Zernike moments method of combining precise positioning mark targets for sub-pixel edge detection, and for the oval shape characteristics mark the target, using the least squares fitting to mark the target oval central location positioning . Experimental results show that the higher positioning accuracy of this method, anti-interference ability, with high robustness, and can meet the requirements of real-time video image processing.
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Zhang, Huiqing, and Yueqing Li. "LightGBM Indoor Positioning Method Based on Merged Wi-Fi and Image Fingerprints." Sensors 21, no. 11 (May 25, 2021): 3662. http://dx.doi.org/10.3390/s21113662.

Повний текст джерела
Анотація:
Smartphones are increasingly becoming an efficient platform for solving indoor positioning problems. Fingerprint-based positioning methods are popular because of the wide deployment of wireless local area networks in indoor environments and the lack of model propagation paths. However, Wi-Fi fingerprint information is singular, and its positioning accuracy is typically 2–10 m; thus, it struggles to meet the requirements of high-precision indoor positioning. Therefore, this paper proposes a positioning algorithm that combines Wi-Fi fingerprints and visual information to generate fingerprints. The algorithm involves two steps: merged-fingerprint generation and fingerprint positioning. In the merged-fingerprint generation stage, the kernel principal component analysis feature of the Wi-Fi fingerprint and the local binary pattern features of the scene image are fused. In the fingerprint positioning stage, a light gradient boosting machine (LightGBM) is trained with mutually exclusive feature bundling and histogram optimization to obtain an accurate positioning model. The method is tested in an actual environment. The experimental results show that the positioning accuracy of the LightGBM method is 90% within a range of 1.53 m. Compared with the single-fingerprint positioning method, the accuracy is improved by more than 20%, and the performance is improved by more than 15% compared with other methods. The average locating error is 0.78 m.
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Sun, Senzhen, Guangyun Li, Yangjun Gao, and Li Wang. "Robust Dynamic Indoor Visible Light Positioning Method Based on CMOS Image Sensor." Photogrammetric Engineering & Remote Sensing 88, no. 5 (May 1, 2022): 333–42. http://dx.doi.org/10.14358/pers.21-00077r3.

Повний текст джерела
Анотація:
A real-time imaging recognition and positioning method based on visible light communication flat light source is proposed. This method images the visible light communication flat light source through the rolling shutter effect of the complementary metal-oxide semiconductor imaging sensor and obtains the rectangular area outline of the light source. The light and dark stripe information of image with the digital image processing method realizes light source matching recognition by defining the concept, the autocorrelation sequence, which can be used to obtain the identity of the light source, and the rectangular vertex coordinate information of flat light source achieves high-precision vision positioning on the basis of inertial measurement unit attitude sensor-assisted imaging. Simultaneously, the corresponding positioning module is developed for positioning testing. The test results indicate that the plane positioning error is less than 4.5 cm, and the positioning frequency is greater than 10 Hz, which provides a high-precision visual positioning solution for indoor positioning.
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Bai, Nan, Guangzhu Chen, Rui Hou, and Feng Ying. "A novel WiFi signal and RGB image fusion positioning method for manufacturing workshop." Journal of Intelligent & Fuzzy Systems 39, no. 3 (October 7, 2020): 3229–40. http://dx.doi.org/10.3233/jifs-191647.

Повний текст джерела
Анотація:
With the sustainable development of mobile communication technology and the increasing demand for indoor services, Location-based Service (LBS) is attracting more and more attention. Determining the mobile target’s location is a core problem of LBS. The traditional WiFi signal fingerprint-based positioning technology mainly determines the location information of the mobile target by received RSS, which has high real-time positioning but low positioning accuracy. The fingerprint-based positioning technology using image mainly determines the location information of the mobile target by matching the features of the foreground images, which has the high positioning accuracy but low real-time positioning. This paper presents an indoor positioning method fusing information of the WiFi signal and RGB image to improve the positioning performance. The WiFi signal is transformed into the W-image according to indoor space and correction radius parameters, then the W-image and RGB image information are fused with LBP feature by the uniform-LBP algorithm. A fusion positioning model based on the sparse representation is established and solved using Lasso and BPDN positioning method. The positioning methods are tested in manufacturing workshop, and the experimental results show that the proposed method can reduce the complexity of the positioning method and achieve the higher positioning accuracy under same conditions.
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Qiu, Yijin, Xingjie Chen, and Zhaomin Lv. "Rail Fastener Positioning Based on Double Template Matching." Complexity 2020 (October 5, 2020): 1–10. http://dx.doi.org/10.1155/2020/8316969.

Повний текст джерела
Анотація:
For global template matching (GTM), which is commonly used in the positioning of rail fasteners, only the fastener template is used to search the global image in both two dimensions, which will result in errors in two dimensions, and the lower positioning accuracy will be caused. A positioning method for rail fasteners based on double template matching (DTM) is proposed in this paper, in which the double template contains the rail template and the fastener template. First, the rail template is used to scan the original image in horizontal dimension, and the squared Euclidean distance (SED) is used to obtain the rail positioning in the original image. Combining with the prior knowledge of the fastener template image, the image composed of the rail and the fastener can be obtained, which is called the Rail Area Map (RAM) in this paper. Then, after preprocessing the RAM and the fastener template image, the fastener template image is used to scan the RAM in vertical dimension, and the normalized correlation coefficient (NCC) is used to calculate the similarity between the template and the subgraph of the RAM to achieve precise positioning of the fastener. The proposed DTM method adopts a positioning strategy from coarse to fine, and two templates are used to complete different positioning tasks in their own dimension, respectively. Due to the rail can be precise positioned in horizontal dimension, the error of the fastener positioning in the horizontal dimension can be avoided, and thus, the positioning accuracy can be improved. Experiments on the on-site line fastener images prove that the proposed method can effectively achieve the precise positioning of fasteners.
Стилі APA, Harvard, Vancouver, ISO та ін.
Більше джерел

Дисертації з теми "Image-based positioning"

1

Aeddula, Omsri Kumar. "Automatic Image Based Positioning System." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15224.

Повний текст джерела
Анотація:
Position of the vehicle is essential to navigate the vehicle along a desired path without any human interference. Global Positioning System (GPS) loses significant power due to signal attenuation caused by construction buildings. A good positioning system should have both good positioning accuracy and reliability. The purpose of this thesis is to implement a new positioning system using camera and examine the accuracy of the estimated vehicle position on a real-time scenario. The major focus of the thesis is to develop two algorithms for estimation of the position of the vehicle using a static camera and to evaluate the performance of the proposed algorithms. The proposed positioning system is based on two different processes. First process uses center of mass to estimate the position, while the second one utilizes gradient information to estimate the position of the vehicle. Two versions of the positioning systems are implemented. One version uses center of mass concept and background subtraction to estimate the position of the vehicle and the other version calculates gradients to estimate the position of the vehicle. Both algorithms are sensitive to point of view of the image i.e height of the camera. On comparing both algorithms, gradient based algorithm is less sensitive to the camera view. Finally, the performance is greater dependent on the height of the camera position for center of mass positioning system, as compared to the gradient positioning system but the accuracy of the systems can be improved by increasing the height of the camera. In terms of the speed of processing, the gradient positioning system is faster than the center of mass positioning system. The first algorithm, based on center of mass has 89.75\% accuracy with a standard deviation of 3 pixels and the second algorithm has an accuracy of 92.26\%. Accuracy of the system is estimated from the number of false detected positions.
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Lavieri, Rodrigo Sauri. "Image-based wave feed-forward for dynamic positioning system." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3152/tde-12122016-090140/.

Повний текст джерела
Анотація:
The Dynamic Positioning (DP) systems currently available employ a feedback controller based on the position and heading error, associated with a wind feed-forward control action to keep the vessel position. This last technology improves the eficiency of the DP by anticipating wind loads. However, there is no consolidated technology to feed the controller with wave loads information and the major issue is related to the wave measurement process. The present thesis aims at filling this technological gap by proposing an alternative approach for the measuring of waves near the vessel. Image-based measurement methods are noninvasive and can produce a spatial and temporal description of the surface, making them suitable for recovering the geometry of liquid surfaces. Nevertheless, these surface reconstruction methods, particularly those applying stereoscopic approaches, have dificulty in measuring waves produced in laboratory facilities, mainly because, in such conditions, the water surface is smooth, translucent and highly specular. Alternatively, intensity based image methods are capable of dealing with these surface characteristics, if employed under controlled conditions and if a suitable reflectance model is selected. In the present study, a well-known reflectance model is applied to recover the parameters of regular waves produced in an offshore basin. Firstly, an experimental setup is proposed, designed to grant appropriate conditions for the application of the reflectance model, even under conventional laboratory illumination. Later, the second set of experiments with a model scale DP vessel are presented, which applied the image-based method developed before as a wave feed-forward system. Three control methods are evaluated, namely: PID, PD (Proportional-Derivative) and the PD with the wave feed-forward. Results demonstrated that the presence of the wave feed-forward reduced the steady error of the PD controller. These are the first steps towards the practical use of the wave feed-forward, and several aspects remain pending. However, the promising results and discussions regarding the future steps define the contribution of this work.
Os sistemas atuais de Posicionamento Dinâmico (DP) empregam técnicas de controle baseadas na realimentação da posição e do aproamento, associadas à compensação antecipada das cargas de vento (wind feed-forward) para manter a posição da embarcação. Esta tecnologia melhora a experiência do DP, pois antecipa a ação do vento. Entretanto, não há tecnologia consolidada para a pré-compensação de forças ondas (wave feed-forward) e o maior desafio reside na medição desses agentes ambientais. A presente tese tem como objetivo preencher essa lacuna tecnológica propondo uma abordagem alternativa para a medição das ondas próxima ao casco. Métodos de medição baseados em imagem são não invasivos e produzem descrições espaciais e temporais da superfície analisada, tornando-os particularmente adequados à medição de superfícies líquidas. Entretanto, os métodos comumente empregados, principalmente aqueles baseados em imagens estéreo, são incapazes de medir ondas produzidas em ambiente de laboratório, pois, nestas condições, a superfície da água é lisa, apresenta transparência e comporta-se como um espelho. Por outro lado, métodos baseados na intensidade de luz são capazes de lidar com tais características, se aplicados em condições adequadas e quando empregam modelos apropriados. Neste trabalho, um modelo de reetância amplamente conhecido é empregado para extrair os parâmetros principais de ondas regulares produzidas em um tanque de provas offshore. Inicialmente, propõe-se um arranjo experimental que permita a aplicação do modelo de refetância construído, mesmo sob as condições de iluminação naturais do laboratório. Posteriormente, um segundo conjunto de experimentos com um modelo de embarcação DP é proposto, no qual se aplica o método baseado em imagem, testado anteriormente, como sistema de pré-compensação de forças de onda. Três métodos de controle são avaliados, quais sejam: PID (Proporcional-Integral-Derivativo), PD (Proporcional-Derivativo) e o PD-WFF (PD associado ao wave feed-forward). Os resultados demonstram que a presença pré-conpensação de forças de onda reduz o erro em regime do controlador PD. Estes são os primeiros passos em direção da incorporação da pré-compensação de forças de onda nos sistemas DP reais e diversos aspectos técnicos ainda estão pendentes. Entretanto, os resultados promissores e discussões acerca dos futuros passos da pesquisa definem a contribuição do presente trabalho no campo do Posicionamento Dinâmico.
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Audu, Abdulkadir Iyyaka. "Camera positioning for 3D panoramic image rendering." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/10444.

Повний текст джерела
Анотація:
Virtual camera realisation and the proposition of trapezoidal camera architecture are the two broad contributions of this thesis. Firstly, multiple camera and their arrangement constitute a critical component which affect the integrity of visual content acquisition for multi-view video. Currently, linear, convergence, and divergence arrays are the prominent camera topologies adopted. However, the large number of cameras required and their synchronisation are two of prominent challenges usually encountered. The use of virtual cameras can significantly reduce the number of physical cameras used with respect to any of the known camera structures, hence adequately reducing some of the other implementation issues. This thesis explores to use image-based rendering with and without geometry in the implementations leading to the realisation of virtual cameras. The virtual camera implementation was carried out from the perspective of depth map (geometry) and use of multiple image samples (no geometry). Prior to the virtual camera realisation, the generation of depth map was investigated using region match measures widely known for solving image point correspondence problem. The constructed depth maps have been compare with the ones generated using the dynamic programming approach. In both the geometry and no geometry approaches, the virtual cameras lead to the rendering of views from a textured depth map, construction of 3D panoramic image of a scene by stitching multiple image samples and performing superposition on them, and computation of virtual scene from a stereo pair of panoramic images. The quality of these rendered images were assessed through the use of either objective or subjective analysis in Imatest software. Further more, metric reconstruction of a scene was performed by re-projection of the pixel points from multiple image samples with a single centre of projection. This was done using sparse bundle adjustment algorithm. The statistical summary obtained after the application of this algorithm provides a gauge for the efficiency of the optimisation step. The optimised data was then visualised in Meshlab software environment, hence providing the reconstructed scene. Secondly, with any of the well-established camera arrangements, all cameras are usually constrained to the same horizontal plane. Therefore, occlusion becomes an extremely challenging problem, and a robust camera set-up is required in order to resolve strongly the hidden part of any scene objects. To adequately meet the visibility condition for scene objects and given that occlusion of the same scene objects can occur, a multi-plane camera structure is highly desirable. Therefore, this thesis also explore trapezoidal camera structure for image acquisition. The approach here is to assess the feasibility and potential of several physical cameras of the same model being sparsely arranged on the edge of an efficient trapezoid graph. This is implemented both Matlab and Maya. The quality of the depth maps rendered in Matlab are better in Quality.
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Parra, Nestor Andres. "Rigid and Non-rigid Point-based Medical Image Registration." FIU Digital Commons, 2009. http://digitalcommons.fiu.edu/etd/127.

Повний текст джерела
Анотація:
The primary goal of this dissertation is to develop point-based rigid and non-rigid image registration methods that have better accuracy than existing methods. We first present point-based PoIRe, which provides the framework for point-based global rigid registrations. It allows a choice of different search strategies including (a) branch-and-bound, (b) probabilistic hill-climbing, and (c) a novel hybrid method that takes advantage of the best characteristics of the other two methods. We use a robust similarity measure that is insensitive to noise, which is often introduced during feature extraction. We show the robustness of PoIRe using it to register images obtained with an electronic portal imaging device (EPID), which have large amounts of scatter and low contrast. To evaluate PoIRe we used (a) simulated images and (b) images with fiducial markers; PoIRe was extensively tested with 2D EPID images and images generated by 3D Computer Tomography (CT) and Magnetic Resonance (MR) images. PoIRe was also evaluated using benchmark data sets from the blind retrospective evaluation project (RIRE). We show that PoIRe is better than existing methods such as Iterative Closest Point (ICP) and methods based on mutual information. We also present a novel point-based local non-rigid shape registration algorithm. We extend the robust similarity measure used in PoIRe to non-rigid registrations adapting it to a free form deformation (FFD) model and making it robust to local minima, which is a drawback common to existing non-rigid point-based methods. For non-rigid registrations we show that it performs better than existing methods and that is less sensitive to starting conditions. We test our non-rigid registration method using available benchmark data sets for shape registration. Finally, we also explore the extraction of features invariant to changes in perspective and illumination, and explore how they can help improve the accuracy of multi-modal registration. For multimodal registration of EPID-DRR images we present a method based on a local descriptor defined by a vector of complex responses to a circular Gabor filter.
Стилі APA, Harvard, Vancouver, ISO та ін.
5

MANZO, MARIO. "ATTRIBUTED RELATIONAL SIFT-BASED REGIONS GRAPH (ARSRG):DESCRIPTION, MATCHING AND APPLICATIONS." Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/233320.

Повний текст джерела
Анотація:
Finding correspondences between images is a crucial activity in many overlapping fields of research, such as Image Retrieval and Pattern Recognition. Many existing techniques address this problem using local invariant image features, instead of color, shape and texture, that to some degree loose the large scale structure of the image. In this thesis, in order to account for spatial relations among the local invariant features and to improve the image representation, first a graph data structure is introduced, where local features are represented by nodes and spatial relations by edges; second an algorithm able to find matches between local invariant features, organized in graph structures, is built; third a mapping procedure from graph to vector space is proposed, in order to speed up the classification process. Effectiveness of the proposed framework is demonstrated through applications in image-based localization and art painting. The literature shows many approximate algorithms to solve these problems, so a comparison with the state of the art is performed in each step of the process. By using both local and spatial information, the proposed framework outperforms its competitors for the image correspondence problems.
Стилі APA, Harvard, Vancouver, ISO та ін.
6

DI, PIETRA VINCENZO. "Seamless Positioning and Navigation in Urban Environment." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2732878.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Agmell, Simon, and Marcus Dekker. "IR-Based Indoor Localisation and Positioning System." Thesis, Linköpings universitet, Fysik och elektroteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158175.

Повний текст джерела
Анотація:
This thesis presents a prototype beacon-based indoor positioning system using IR-based triangulation together with various inertial sensors mounted onto the receiver. By applying a Kalman filter, the mobile receivers can estimate their position by fusing the data received from the two independent measurement systems. Furthermore, the system is aimed to operate and conduct all calculations using microcontrollers. Multiple IR beacons and an AGV were constructed to determine the systems performance. Empirical and practical experiments show that the proposed localisation system is capable centimeter accuracy. However, because of hardware limitation the system has lacking update frequency and range. With the limitations in mind, it can be established that the final sensor-fused solution shows great promise but requires an extended component assessment and more advanced localisation estimations method such as an Extended Kalman Filter or particle filter to increase reliability.
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Conradie, Jean-Pierre. "Fluoroscopy based needle-positioning system for percutaneous nephrolithotomy procedures." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/1768.

Повний текст джерела
Анотація:
Thesis (MScEng (Mechanical and Mechatronic Engineering))--Stellenbosch University, 2008.
A fluoroscopy-guided needle-positioning system is designed and tested as a first prototype for aiding urologists in gaining fast, accurate and repeatable kidney calyx access during a PCNL procedure while also reducing radiation exposure of the people involved. Image guidance is realized by modelling the fluoroscopic system as an adapted pinhole camera model and utilizing stereo vision principles on a stereo image pair. Calibration, distortion correction and image processing algorithms are implemented on images of a designed calibration object. Thereafter the resulting variables are used in the targeting of the calyx with the aid of a graphical user interface. The required relative translation and rotation of the needle from its current position to the target is calculated and the system is adjusted accordingly. Using digital cameras, needle placement accuracies of 2.5 mm is achieved within the calibrated volume in a simulated environment. Similar results are achieved in the surgery room environment using the fluoroscopic system. Successful needle access in two porcine kidney calyxes concluded the testing
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Wei, Xiao, and 魏驍. "Image-Based Ego-Positioning." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/29766583006145234369.

Повний текст джерела
Анотація:
碩士
國立臺灣大學
資訊網路與多媒體研究所
103
This thesis proposes an image-based ego-positioning framework to achieve sub-meter accuracy, with compact reference database compared to previous work, which can be used for the positioning of Internet connected devices. Consumer GPS devices nowadays obtain accuracy around several meters, which could be worse or even unable to work depending on the connection with GPS satellites. Current researches on image-based positioning utilize images and the reference database in different ways, however their accuracy, time consumption or database size have set limitations of their application. Experiments on different scenes in this work demonstrate that the method we proposed effectively reduce the size of reference database while main- taining a sub-meter accuracy for positioning. With evaluated performance, influencing factors are investigated, open problems are discussed for further improvements and applications.
Стилі APA, Harvard, Vancouver, ISO та ін.
10

LI, YU-CHENG, and 李昱誠. "Indoor Precise Positioning System Based on Beacon Micro-Positioning and Image Recognition." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/c42bsa.

Повний текст джерела
Анотація:
碩士
國立宜蘭大學
資訊工程學系碩士班
106
Global Positioning System (GPS) can provide instantly outdoor position, but GPS are affected by shelter or buildings when positioned in indoors. Signal error of GPS will become very large. Therefore, when the indoor environment cannot be located using GPS. Other indoor positioning technologies are needed to solve the indoor positioning problem. This study explores an indoor positioning method that can be easily used by users and managers. But each of the indoor positioning methods must causes some errors, this study will explore how to achieve the goal of precise positioning by combining other techniques to reduce the error value in the original error. This paper mainly uses Bluetooth Low Energy as the main architecture. On the device, Bluetooth Low Energy's technology provides an indoor positioning method that is compatible with most smart phones and tablets on the market, as well as low power consumption, low cost of construction and easy deployment. Using Beacon and Fingerprinting to detect indoor positioning, and then using Fast corner feature extraction and Hog feature comparison, finally, the angle difference and the scaling ratio are calculated to find the angle and displacement distance. According to the above that getting the actual location of the user and achieving the goal of accurate indoor position. According to the experimental results of this paper, after the user uses Beacon to build the environment, without additional equipment, just a smartphone or tablet can being used to perform the indoor position. That not only reducing the burden of cost but also through image processing and feature point matching to increase Beacon indoor positioning accuracy. For the problem of GPS indoor positioning error, it will be solved more efficiently.
Стилі APA, Harvard, Vancouver, ISO та ін.
Більше джерел

Книги з теми "Image-based positioning"

1

Geological Survey (U.S.), ed. GPS and GIS-based data collection and image mapping in the Antarctic Peninsula. [Reston, VA]: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Geological Survey (U.S.), ed. GPS and GIS-based data collection and image mapping in the Antarctic Peninsula. [Reston, VA]: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Geological Survey (U.S.), ed. GPS and GIS-based data collection and image mapping in the Antarctic Peninsula. [Reston, VA]: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Geological Survey (U.S.), ed. GPS and GIS-based data collection and image mapping in the Antarctic Peninsula. [Reston, VA]: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Geological Survey (U.S.), ed. GPS and GIS-based data collection and image mapping in the Antarctic Peninsula. [Reston, VA]: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Geological Survey (U.S.), ed. GPS and GIS-based data collection and image mapping in the Antarctic Peninsula. [Reston, VA]: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Geological Survey (U.S.), ed. GPS and GIS-based data collection and image mapping in the Antarctic Peninsula. [Reston, VA]: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Geological Survey (U.S.), ed. GPS and GIS-based data collection and image mapping in the Antarctic Peninsula. [Reston, VA]: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Octavia, Camps, and United States. National Aeronautics and Space Administration., eds. Detection of obstacles in monocular image sequences: Final technical report for NASA co-operative research agreement number NCC 2-916, "A vision-based obstacle detection system for aircraft navigation," period of grant--August 1, 1995 to July 31, 1997. [Washington, DC: National Aeronautics and Space Administration, 1997.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Noureldin, Aboelmagd. Fundamentals of Inertial Navigation, Satellite-based Positioning and their Integration. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.

Частини книг з теми "Image-based positioning"

1

Haga, Akihiro. "X-Ray Image-Based Patient Positioning." In Image-Based Computer-Assisted Radiation Therapy, 199–235. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2945-5_9.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Soufi, Mazen, and Hidetaka Arimura. "Surface-Imaging-Based Patient Positioning in Radiation Therapy." In Image-Based Computer-Assisted Radiation Therapy, 237–70. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2945-5_10.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Liang, Jason Zhi, Nicholas Corso, Eric Turner, and Avideh Zakhor. "Image-Based Positioning of Mobile Devices in Indoor Environments." In Multimodal Location Estimation of Videos and Images, 85–99. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09861-6_5.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Yun, JaeMu, EunTae Lyu, and JangMyung Lee. "Image-Based Absolute Positioning System for Mobile Robot Navigation." In Lecture Notes in Computer Science, 261–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11815921_28.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Ma, Luxi, Qinmu Wu, Yu Zhan, Bohai Liu, and Xianpeng Wang. "Traffic Sign Detection Based on Improved YOLOv3 in Foggy Environment." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 685–95. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_70.

Повний текст джерела
Анотація:
AbstractAiming at the problem of poor detection accuracy and inaccurate positioning of traffic signs under foggy conditions, this paper proposes an improved YOLOv3 detection algorithm. Firstly, a data set of Chinese traffic signs in a foggy environment is constructed; The dark channel a priori algorithm based on guided filtering is used to process the image with fog, which overcomes the problem of image quality degradation caused by fog. Mosaic data enhancement is performed on the annotated data set image, which speeds up the convergence speed of the network. Increased the feature scale of YOLOv3 algorithm. The loss function of the network is optimized, CIOU is used as the positioning loss, and the positioning accuracy is improved. At the same time, the method of transfer learning is used to overcome the problem of insufficient samples. The enhanced yolov3 algorithm proposed in this paper has higher detection accuracy and shorter detection time than the standard yolov3 algorithm and SSD algorithm.
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Guo, Xiaomeng, Danyang Qin, and Yan Yang. "Indoor Visual Positioning Based on Image Retrieval in Dense Connected Convolutional Network." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 70–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69066-3_7.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Wang, Zhonghong, Guoqiang Wang, and Guoying Zhang. "Research on Image Retrieval Based on Wavelet Denoising in Visual Indoor Positioning Algorithm." In Lecture Notes in Electrical Engineering, 1385–91. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_166.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Hatem, I., M. Jamal, Y. Murhij, and Z. Ali. "Low-Cost Quadcopter Indoor Positioning System Based on Image Processing and Neural Networks." In Mechanism, Machine, Robotics and Mechatronics Sciences, 243–57. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89911-4_18.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Wei, Chunyang, Hao Xia, and Yanyou Qiao. "An Improved Image Positioning Method Based on Local Changed Plane Eliminated by Homography." In Lecture Notes in Computer Science, 3–14. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34110-7_1.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Dai, Honghui, Chenge Geng, and Taotao Lu. "Research on Assisted Train Positioning Method of Urban Rail Based on Image Matching." In Lecture Notes in Electrical Engineering, 1124–36. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2259-6_100.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.

Тези доповідей конференцій з теми "Image-based positioning"

1

Kawaji, Hisato, Koki Hatada, Toshihiko Yamasaki, and Kiyoharu Aizawa. "Image-based indoor positioning system." In the 1st ACM international workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1878039.1878041.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Tian, Shengjun. "A Positioning Method based on Image." In 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/mecs-17.2017.134.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Li, Yunzhi, Rajeswari Hita Kambhamettu, Yidan Hu, and Rui Zhang. "ImPos: An Image-Based Indoor Positioning System." In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2022. http://dx.doi.org/10.1109/ccnc49033.2022.9700699.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Renshaw, C. Kyle, Jennifer Hewitt, Robert Grimming, and Ronald G. Driggers. "Sensor Optimization for Image-Based Geolocation." In Computational Optical Sensing and Imaging. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cosi.2022.jf2d.6.

Повний текст джерела
Анотація:
Image-based geolocation can provide vehicle positioning independent of GPS. We model positioning performance using triangulation from geo-referenced landmarks pre-selected from geospatial databases. We describe the accuracy and availability of this navigation implementation.
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Lopez-Antequera, Manuel, Nicolai Petkov, and Javier Gonzalez-Jimenez. "Image-based localization using Gaussian processes." In 2016 7th International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2016. http://dx.doi.org/10.1109/ipin.2016.7743697.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Jun-Ren Ding, Jiun-Yu Chen, Fu-Chun Yang, and Jar-Ferr Yang. "Image-based auto-positioning brush for LCD displays." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518075.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Borstell, Hagen, Saira Pathan, Liu Cao, Klaus Richter, and Mykhaylo Nykolaychuk. "Vehicle positioning system based on passive planar image markers." In 2013 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2013. http://dx.doi.org/10.1109/ipin.2013.6817875.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Schwiegelshohn, F., T. Nick, and J. Gotze. "Localization based on fusion of RFID and stereo image data." In 2013 10th Workshop on Positioning, Navigation and Communication (WPNC). IEEE, 2013. http://dx.doi.org/10.1109/wpnc.2013.6533297.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Chen, Hong Ming, Ting En Lee, Juhng Perng Su, and Chyun Luen Lin. "Realization of an Image-Based XXY Positioning Platform Control." In 2014 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2014. http://dx.doi.org/10.1109/is3c.2014.308.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Maruyama, Toshinori, and Hideki Yamamoto. "CT image based training tool for positioning in radiography." In 2011 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2011. http://dx.doi.org/10.1109/ist.2011.5962172.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Також вас можуть зацікавити розширені добірки на тему "Image-based positioning" для конкретних типів джерел:
Статті в журналах Дисертації
Ми пропонуємо знижки на всі преміум-плани для авторів, чиї праці увійшли до тематичних добірок літератури. Зв'яжіться з нами, щоб отримати унікальний промокод!

До бібліографії