Bibliografías temáticas / Odometria visual

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Literatura académica sobre el tema "Odometria visual"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 18 de febrero de 2022

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Artículos de revistas sobre el tema "Odometria visual"

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Renato Garcia Braga, José, Elcio Hideiti Shiguemori, and Haroldo Fraga de Campos Velho. "Odometria Visual para a Navegação Autônoma de VANT." Revista Cereus 11, no. 1 (2019): 184–94. http://dx.doi.org/10.18605/2175-7275/cereus.v11n1p184-194.

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Bonin-Font, Francisco, Carles Coll Gomila, and Gabriel Oliver Codina. "Hacia la Navegación Visual de un Vehículo Autónomo Submarino en Áreas con Posidonia Oceanica." Revista Iberoamericana de Automática e Informática industrial 15, no. 1 (2017): 24. http://dx.doi.org/10.4995/riai.2017.8828.

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Este artículo presenta los resultados de un estudio experimental exhaustivo que determina el tipo de características visuales que presentan una mayor robustez, estabilidad y trazabilidad en imágenes submarinas tomadas en entornos colonizados con Posidonia Oceanica (P.O.), sean consecutivas o que cierran bucles (imágenes que muestran una misma área, parcial o totalmente, tomadas en tiempos distintos, desde puntos de vista distintos o incluso en condiciones de iluminación diferentes). El trabajo se ha centrado en dos puntos fundamentales: a) evaluar la capacidad que pueden tener varias técnicas
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Srinivasan, M., S. Zhang, and N. Bidwell. "Visually mediated odometry in honeybees." Journal of Experimental Biology 200, no. 19 (1997): 2513–22. http://dx.doi.org/10.1242/jeb.200.19.2513.

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The ability of honeybees to gauge the distances of short flights was investigated under controlled laboratory conditions where a variety of potential odometric cues such as flight duration, energy consumption, image motion, airspeed, inertial navigation and landmarks were manipulated. Our findings indicate that honeybees can indeed measure short distances travelled and that they do so solely by analysis of image motion. Visual odometry seems to rely primarily on the motion that is sensed by the lateral regions of the visual field. Computation of distance flown is re-commenced whenever a promin
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CIOCOIU, Titus, Florin MOLDOVEANU, and Caius SULIMAN. "CAMERA CALIBRATION FOR VISUAL ODOMETRY SYSTEM." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 1 (2016): 227–32. http://dx.doi.org/10.19062/2247-3173.2016.18.1.30.

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Chindakham, Nachaya, Young-Yong Kim, Alongkorn Pirayawaraporn, and Mun-Ho Jeong. "Simultaneous Calibration of Odometry and Head-Eye Parameters for Mobile Robots with a Pan-Tilt Camera." Sensors 19, no. 16 (2019): 3623. http://dx.doi.org/10.3390/s19163623.

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In the field of robot navigation, the odometric parameters, such as wheel radii and wheelbase length, and the relative pose of the optical sensing camera with respect to the robot are very important criteria for accurate operation. Hence, these parameters are necessary to be estimated for more precise operation. However, the odometric and head-eye parameters are typically estimated separately, which is an inconvenience and requires longer calibration time. Even though several researchers have proposed simultaneous calibration methods that obtain both odometric and head-eye parameters simultane
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Jeon, Hyun-Ho, Jin-Hyung Kim, and Yun-Ho Ko. "RAFSet (Robust Aged Feature Set)-Based Monocular Visual Odometry." Journal of Institute of Control, Robotics and Systems 23, no. 12 (2017): 1063–69. http://dx.doi.org/10.5302/j.icros.2017.17.0160.

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Osman, Mostafa, Ahmed Hussein, Abdulla Al-Kaff, Fernando García, and Dongpu Cao. "A Novel Online Approach for Drift Covariance Estimation of Odometries Used in Intelligent Vehicle Localization." Sensors 19, no. 23 (2019): 5178. http://dx.doi.org/10.3390/s19235178.

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Localization is the fundamental problem of intelligent vehicles. For a vehicle to autonomously operate, it first needs to locate itself in the environment. A lot of different odometries (visual, inertial, wheel encoders) have been introduced through the past few years for autonomous vehicle localization. However, such odometries suffers from drift due to their reliance on integration of sensor measurements. In this paper, the drift error in an odometry is modeled and a Drift Covariance Estimation (DCE) algorithm is introduced. The DCE algorithm estimates the covariance of an odometry using the
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Kim, Kyu-Won, Tae-Ki Jung, Seong-Hun Seo, and Gyu-In Jee. "Development of Tightly Coupled based LIDAR-Visual-Inertial Odometry." Journal of Institute of Control, Robotics and Systems 26, no. 8 (2020): 597–603. http://dx.doi.org/10.5302/j.icros.2020.20.0076.

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Huang Ping, 黄平, 曹镇 Cao Zhen та 王欢 Wang Huan. "基于环形特征匹配的双目视觉里程计". Acta Optica Sinica 41, № 15 (2021): 1515002. http://dx.doi.org/10.3788/aos202141.1515002.

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Faiq Hatta, Mohammad Iqbalul, and Nuryono Satya Widodo. "Robot Operating System (ROS) in Quadcopter Flying Robot Using Telemetry System." International Journal of Robotics and Control Systems 1, no. 1 (2021): 54–65. http://dx.doi.org/10.31763/ijrcs.v1i1.247.

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In this study implementing odometry using RVIZ on a quadcopter flying robot that uses the Pixhawk Cube firmware version 3.6.8 as the sub-controller. Then the Lenovo G400 laptop as the main-controller as well as the Ground Control Station using the ubuntu 16.04 Linux operating system. The ROS platform uses the Kinetic and MAVROS versions as a quadcopter platform package using MAVlink communication with the telemetry module. The odometry system was tested using Rviz as navigation for Quadcopter movements in carrying out movements that follow movement patterns in certain shapes and perform basic
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Tesis sobre el tema "Odometria visual"

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Nishitani, André Toshio Nogueira. "Localização baseada em odometria visual." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17082016-095838/.

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O problema da localização consiste em estimar a posição de um robô com relação a algum referencial externo e é parte essencial de sistemas de navegação de robôs e veículos autônomos. A localização baseada em odometria visual destaca-se em relação a odometria de encoders na obtenção da rotação e direção do movimento do robô. Esse tipo de abordagem é também uma escolha atrativa para sistemas de controle de veículos autônomos em ambientes urbanos, onde a informação visual é necessária para a extração de informações semânticas de placas, semáforos e outras sinalizações. Neste contexto este trabalh
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Pereira, Fabio Irigon. "High precision monocular visual odometry." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/183233.

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Extrair informação de profundidade a partir de imagens bidimensionais é um importante problema na área de visão computacional. Diversas aplicações se beneficiam desta classe de algoritmos tais como: robótica, a indústria de entretenimento, aplicações médicas para diagnóstico e confecção de próteses e até mesmo exploração interplanetária. Esta aplicação pode ser dividida em duas etapas interdependentes: a estimação da posição e orientação da câmera no momento em que a imagem foi gerada, e a estimativa da estrutura tridimensional da cena. Este trabalho foca em técnicas de visão computacional usa
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Silva, Bruno Marques Ferreira da. "Odometria visual baseada em t?cnicas de structure from motion." Universidade Federal do Rio Grande do Norte, 2011. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15364.

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Made available in DSpace on 2014-12-17T14:55:51Z (GMT). No. of bitstreams: 1 BrunoMFS_DISSERT.pdf: 2462891 bytes, checksum: b8ea846d0fcc23b0777a6002e9ba92ac (MD5) Previous issue date: 2011-02-15<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>Visual Odometry is the process that estimates camera position and orientation based solely on images and in features (projections of visual landmarks present in the scene) extraced from them. With the increasing advance of Computer Vision algorithms and computer processing power, the subarea known as Structure from Motion (SFM) started
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Araújo, Darla Caroline da Silva 1989. "Uso de fluxo óptico na odometria visual aplicada a robótica." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265835.

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Orientador: Paulo Roberto Gardel Kurka<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica<br>Made available in DSpace on 2018-08-26T21:38:28Z (GMT). No. of bitstreams: 1 Araujo_DarlaCarolinedaSilva_M.pdf: 5678583 bytes, checksum: a6ed9886369705a8853f15d431565a3d (MD5) Previous issue date: 2015<br>Resumo: O presente trabalho descreve um método de odometria visual empregando a técnica de fluxo óptico, para estimar o movimento de um robô móvel, através de imagens digitais capturadas de duas câmeras estereoscópicas nele fixadas. Busca-se assim a const
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Santos, Vinícius Araújo. "SiameseVO-Depth: odometria visual através de redes neurais convolucionais siamesas." Universidade Federal de Goiás, 2018. http://repositorio.bc.ufg.br/tede/handle/tede/9083.

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Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2018-11-21T11:05:44Z No. of bitstreams: 2 Dissertação - Vinícius Araújo Santos - 2018.pdf: 14601054 bytes, checksum: e02a8bcd3cdc93bf2bf202c3933b3f27 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2018-11-21T11:06:26Z (GMT) No. of bitstreams: 2 Dissertação - Vinícius Araújo Santos - 2018.pdf: 14601054 bytes, checksum: e02a8bcd3cdc93bf2bf202c3933b3f27 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Made
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Santos, Cristiano Flores dos. "Um framework para avaliação de mapeamento tridimensional Utilizando técnicas de estereoscopia e odometria visual." Universidade Federal de Santa Maria, 2016. http://repositorio.ufsm.br/handle/1/12038.

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The three-dimensional mapping environments has been intensively studied in the last decade. Among the benefits of this research topic is possible to highlight the addition of autonomy for car or even drones. The three-dimensional representation also allows viewing of a given scenario iteratively and with greater detail. However, until the time of this work was not found one framework to present in detail the implementation of algorithms to perform 3D mapping outdoor approaching a real-time processing. In view of this, in this work we developed a framework with the main stages of three-di
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Pereira, Ana Rita. "Visual odometry: comparing a stereo and a multi-camera approach." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-11092017-095254/.

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The purpose of this project is to implement, analyze and compare visual odometry approaches to help the localization task in autonomous vehicles. The stereo visual odometry algorithm Libviso2 is compared with a proposed omnidirectional multi-camera approach. The proposed method consists of performing monocular visual odometry on all cameras individually and selecting the best estimate through a voting scheme involving all cameras. The omnidirectionality of the vision system allows the part of the surroundings richest in features to be used in the relative pose estimation. Experiments are carri
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Delgado, Vargas Jaime Armando 1986. "Odometria visual e fusão de sensores no problema de localização e mapeamento simultâneo de ambientes exteriores." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265760.

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Orientador: Paulo Roberto Gardel Kurka<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica<br>Made available in DSpace on 2018-08-28T12:48:00Z (GMT). No. of bitstreams: 1 DelgadoVargas_JaimeArmando_D.pdf: 6984853 bytes, checksum: 4647b847de6d3abb110923a021a6f376 (MD5) Previous issue date: 2015<br>Resumo: A localização de robôs móveis é foco de estudo em diferentes grupos de pesquisa ao redor do mundo. Robôs móveis são equipados com diferentes sensores, utilizando uma variedade de métodos de localização para as tarefas de exploração de ambientes desconhe
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Santos, Guilherme Leal. "Localiza??o de rob?s m?veis aut?nomos utilizando fus?o sensorial de odometria e vis?o monocular." Universidade Federal do Rio Grande do Norte, 2010. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15334.

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Made available in DSpace on 2014-12-17T14:55:46Z (GMT). No. of bitstreams: 1 GuilhermeLS_DISSERT.pdf: 861871 bytes, checksum: 8461d130e59e8fb9ac951602b094fd18 (MD5) Previous issue date: 2010-05-07<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>The development and refinement of techniques that make simultaneous localization and mapping (SLAM) for an autonomous mobile robot and the building of local 3-D maps from a sequence of images, is widely studied in scientific circles. This work presents a monocular visual SLAM technique based on extended Kalman filter, which uses feat
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Masson, Clément. "Direction estimation using visual odometry." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169377.

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This Master thesis tackles the problem of measuring objects’ directions from a motionlessobservation point. A new method based on a single rotating camera requiring the knowledge ofonly two (or more) landmarks’ direction is proposed. In a first phase, multi-view geometry isused to estimate camera rotations and key elements’ direction from a set of overlapping images.Then in a second phase, the direction of any object can be estimated by resectioning the cameraassociated to a picture showing this object. A detailed description of the algorithmic chain isgiven, along with test results on both sy
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Libros sobre el tema "Odometria visual"

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Erdem, Uğur Murat, Nicholas Roy, John J. Leonard, and Michael E. Hasselmo. Spatial and episodic memory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0029.

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The neuroscience of spatial memory is one of the most promising areas for developing biomimetic solutions to complex engineering challenges. Grid cells are neurons recorded in the medial entorhinal cortex that fire when rats are in an array of locations in the environment falling on the vertices of tightly packed equilateral triangles. Grid cells suggest an exciting new approach for enhancing robot simultaneous localization and mapping (SLAM) in changing environments and could provide a common map for situational awareness between human and robotic teammates. Current models of grid cells are w
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Capítulos de libros sobre el tema "Odometria visual"

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Lianos, Konstantinos-Nektarios, Johannes L. Schönberger, Marc Pollefeys, and Torsten Sattler. "VSO: Visual Semantic Odometry." In Computer Vision – ECCV 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01225-0_15.

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Chien, Hsiang-Jen, Jr-Jiun Lin, Tang-Kai Yin, and Reinhard Klette. "Multi-objective Visual Odometry." In Image and Video Technology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75786-5_6.

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Kalambe, Shrijay S., Elizabeth Rufus, Vinod Karar, and Shashi Poddar. "Descriptor- Using Low- for Visual Odometry." In Proceedings of 3rd International Conference on Computer Vision and Image Processing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9291-8_1.

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Wan, Yiming, Wei Gao, and Yihong Wu. "Optical Flow Assisted Monocular Visual Odometry." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41404-7_26.

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Deigmoeller, Joerg, and Julian Eggert. "Stereo Visual Odometry Without Temporal Filtering." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45886-1_14.

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Scaramuzza, Davide, and Zichao Zhang. "Aerial Robots, Visual-Inertial Odometry of." In Encyclopedia of Robotics. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-642-41610-1_71-1.

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Mirabdollah, M. Hossein, and Bärbel Mertsching. "Fast Techniques for Monocular Visual Odometry." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24947-6_24.

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Van Hamme, David, Peter Veelaert, and Wilfried Philips. "Robust Visual Odometry Using Uncertainty Models." In Advanced Concepts for Intelligent Vision Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23687-7_1.

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Rani, Prachi, Arpit Jangid, Vinay P. Namboodiri, and K. S. Venkatesh. "Visual Odometry Based Omni-directional Hyperlapse." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0020-2_1.

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Xu, Wenju, and Dongkyu Choi. "Direct Visual-Inertial Odometry and Mapping for Unmanned Vehicle." In Advances in Visual Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50832-0_58.

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Actas de conferencias sobre el tema "Odometria visual"

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Veloso Ribeiro, Daniel, Cairo Lúcio Nascimento Júnior, and Wagner Chiepa Cunha. "Navegação Visual Autônoma de um Veículo Terrestre em Escala Reduzida." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1190.

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Este artigo propõe e apresenta simulações de um sistema de navegação visual autônoma para um veículo diferencial com quatro rodas em escala reduzida. O sistema de navegação é composto por: 1) um controlador de seguimento de faixa que processa a imagem de uma câmera embarcada no veículo para corrigir sua orientação e velocidade, 2) um algoritmo de localização do veículo que usa filtro de Kalman para estimar a pose do veículo (posição e orientação) usando dados de um receptor GNSS RTK, uma bússola digital e sensores de odometria. Foram investigadas e comparadas três possíveis soluções para o con
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Alana de Santana Correia, Lucas Molina, Elyson Ádan Nunes Carvalho, and Eduardo Oliveira Freire. "APLICAÇÃO DE MAPAS DE SALIÊNCIA COMO LIMITADORES DE REGIÃO PARA DETECTORES CLÁSSICOS NA TAREFA DE ODOMETRIA VISUAL." In XXII Congresso Brasileiro de Automática. SBA Sociedade Brasileira de Automática, 2018. http://dx.doi.org/10.20906/cps/cba2018-0612.

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Zhu, Jianke. "Image Gradient-based Joint Direct Visual Odometry for Stereo Camera." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/636.

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Visual odometry is an important research problem for computer vision and robotics. In general, the feature-based visual odometry methods heavily rely on the accurate correspondences between local salient points, while the direct approaches could make full use of whole image and perform dense 3D reconstruction simultaneously. However, the direct visual odometry usually suffers from the drawback of getting stuck at local optimum especially with large displacement, which may lead to the inferior results. To tackle this critical problem, we propose a novel scheme for stereo odometry in this paper,
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Anderson, J. Wesley, Joshua R. Fabian, and Garrett M. Clayton. "Adaptive RGB-D Visual Odometry for Mobile Robots: An Experimental Study." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9829.

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In this paper, experiments are presented in support of an adaptive color-depth (RGB-D) camera-based visual odometry algorithm. The goal of visual odometry is to estimate the egomotion of a robot using images from a camera attached to the robot. This type of measurement can be extremely useful when position sensor information, such as GPS, in unavailable and when error from other motion sensors (e.g., wheel encoders) is inaccurate (e.g., due to wheel slip). In the presented method, visual odometry algorithm parameters are adapted to ensure that odometry measurements are accurate while also cons
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Clayton, Garrett M., and Joshua R. Fabian. "Spatial Feature Matching for Visual Odometry: A Parametric Study." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3913.

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The goal of this paper is to perform a parametric study on a newly developed visual odometry algorithm for use with color-depth (RGB-D) camera pairs, such as the Microsoft Kinect. In this algorithm, features are detected in the color image and converted to 3D points using the depth image. These features are then described by their 3D location and matched across subsequent frames based on spatial proximity. The visual odometry is then calculated using a one-point inverse kinematic solution. The primary contribution of this work is the identification of critical operating parameters associated w
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Wei, Peng, Guoliang Hua, Weibo Huang, Fanyang Meng, and Hong Liu. "Unsupervised Monocular Visual-inertial Odometry Network." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/325.

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Recently, unsupervised methods for monocular visual odometry (VO), with no need for quantities of expensive labeled ground truth, have attracted much attention. However, these methods are inadequate for long-term odometry task, due to the inherent limitation of only using monocular visual data and the inability to handle the error accumulation problem. By utilizing supplemental low-cost inertial measurements, and exploiting the multi-view geometric constraint and sequential constraint, an unsupervised visual-inertial odometry framework (UnVIO) is proposed in this paper. Our method is able to p
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Kleinschmidt, Sebastian P., and Bernardo Wagner. "Visual Multimodal Odometry: Robust Visual Odometry in Harsh Environments." In 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR). IEEE, 2018. http://dx.doi.org/10.1109/ssrr.2018.8468653.

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Lin, Minjie, Qixin Cao, and Haoruo Zhang. "PVO:Panoramic Visual Odometry." In 2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2018. http://dx.doi.org/10.1109/icarm.2018.8610700.

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Center, Julian L., Kevin H. Knuth, Ali Mohammad-Djafari, Jean-François Bercher, and Pierre Bessiére. "Bayesian Visual Odometry." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2011. http://dx.doi.org/10.1063/1.3573659.

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Kutzer, Michael D., John S. Donnal, Gregory L. Sinsley, and Ryan S. McDowell. "Toward Detecting Cyber-Physical Attacks in Additive Manufacturing Using Multi-View Visual Odometry." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8299.

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Abstract This paper presents a method using multi-view visual odometry as an independent tool to reconstruct deposition trajectories in additive manufacturing processes. A physical testbed is presented including camera and encoder retrofits to a Lulzbot TAZ 6. The system, including added sensors, is interfaced using the Wattsworth decentralized IoT framework for data acquisition, preliminary processing, and storage. The proposed visual odometry method is presented, and preliminary testbed results show reliable encoder feedback and camera calibration for use as ground truth in future validation
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