Academic literature on the topic 'Odometria'

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Journal articles on the topic "Odometria"

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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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Yang, Jingdong, Jinghui Yang, and Zesu Cai. "An efficient approach to pose tracking based on odometric error modelling for mobile robots." Robotica 33, no. 6 (2014): 1231–49. http://dx.doi.org/10.1017/s0263574714000654.

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SUMMARYOdometric error modelling for mobile robots is the basis of pose tracking. Without bounds the odometric accumulative error decreases localisation precision after long-range movement, which is often not capable of being compensated for in real time. Therefore, an efficient approach to odometric error modelling is proposed in regard to different drive type mobile robots. This method presents a hypothesis that the motion path approximates a circular arc. The approximate functional expressions between the control input of odometry and non-systematic error as well as systematic error derived
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Nevalainen, Paavo, Qingqing Li, Timo Melkas, Kirsi Riekki, Tomi Westerlund, and Jukka Heikkonen. "Navigation and Mapping in Forest Environment Using Sparse Point Clouds." Remote Sensing 12, no. 24 (2020): 4088. http://dx.doi.org/10.3390/rs12244088.

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Odometry during forest operations is demanding, involving limited field of vision (FOV), back-and-forth work cycle movements, and occasional close obstacles, which create problems for state-of-the-art systems. We propose a two-phase on-board process, where tree stem registration produces a sparse point cloud (PC) which is then used for simultaneous location and mapping (SLAM). A field test was carried out using a harvester with a laser scanner and a global navigation satellite system (GNSS) performing forest thinning over a 520 m strip route. Two SLAM methods are used: The proposed sparse SLAM
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Miranda, Fábio L. N. de, and Carlos H. C. Ribeiro. "Extração automática de mapas de atributos baseada em técnica bayesiana para localização de robôs móveis." Sba: Controle & Automação Sociedade Brasileira de Automatica 17, no. 4 (2006): 391–408. http://dx.doi.org/10.1590/s0103-17592006000400002.

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A solução do problema de determinação da postura (ou localização) é de fundamental importância para a incorporação de autonomia em robôs móveis. Entretanto, devido à natureza inexata do movimento, uma localização precisa não é possível usando unicamente odometria. Faz-se necessário extrair das leituras sensoriais do robô informações que permitam corrigir os desvios intrínsecos a cada ação executada. Neste contexto, os algoritmos de Monte Carlo estimam e atualizam a postura (com base em modelos a priori de sensores e atuadores) através de um conjunto de partículas que simbolizam possíveis postu
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Tang, Hengbo, and Yunhui Liu. "Automatic Simultaneous Extrinsic-Odometric Calibration for Camera-Odometry System." IEEE Sensors Journal 18, no. 1 (2018): 348–55. http://dx.doi.org/10.1109/jsen.2017.2764125.

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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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Nikitenko, Agris, Aleksis Liekna, Martins Ekmanis, Guntis Kulikovskis, and Ilze Andersone. "Single Robot Localisation Approach for Indoor Robotic Systems through Integration of Odometry and Artificial Landmarks." Applied Computer Systems 14, no. 1 (2013): 50–58. http://dx.doi.org/10.2478/acss-2013-0006.

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Abstract we present an integrated approach for robot localization that allows to integrate for the artificial landmark localization data with odometric sensors and signal transfer function data to provide means for different practical application scenarios. The sensor data fusion deals with asynchronous sensor data using inverse Laplace transform. We demonstrate a simulation software system that ensures smooth integration of the odometry-based and signal transfer - based localization into one approach.
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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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Bonnifait, Ph, P. Bouron, D. Meizel, and P. Crubillé. "Dynamic Localization of Car-like Vehicles using Data Fusion of Redundant ABS Sensors." Journal of Navigation 56, no. 3 (2003): 429–41. http://dx.doi.org/10.1017/s037346330300242x.

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A localization system using GPS, ABS sensors and a driving wheel encoder is described and tested through real experiments. A new odometric technique using the four ABS sensors is presented. Due to the redundancy of measurements, the precision is better than the method using differential odometry on the rear wheels only. The sampling is performed when necessary and when a GPS measurement is performed. This implies a noticeable reduction of the GPS latency, simplifying the data-fusion process and improving the quality of its results.
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Dissertations / Theses on the topic "Odometria"

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Pärkkä, J. (Jarmo). "Reaaliaikainen visuaalinen odometria." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201312021943.

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Visuaalisella odometrialla estimoidaan ajoneuvon, ihmisen tai robotin liikettä käyttäen syötteenä kuvaa yhdestä tai useammasta kamerasta. Sovelluskohteita on robotiikassa, autoteollisuudessa, asustemikroissa ja lisätyssä todellisuudessa. Se on hyvä lisä navigointijärjestelmiin, koska se toimii ympäristöissä missä GPS ei toimi. Visuaalinen odometria kehitettiin pyöräodometrian korvaajaksi, koska sen käyttö ei ole riippuvainen maastosta ja liikkumismuodosta. Tässä työssä tutkitaan ja kehitetään visuaalisen odometrian menetelmää reaaliaikaiseen sulautettuun järjestelmään. Työssä esitellään visuaa
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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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Tomasi, Junior Darci Luiz. "Modelo de calibração para sistemas de odometria robótica." reponame:Repositório Institucional da UFPR, 2016. http://hdl.handle.net/1884/45704.

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Orientador : Prof. Dr. Eduardo Todt<br>Dissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática. Defesa: Curitiba, 30/11/2016<br>Inclui referências : f. 39<br>Resumo: Para realizar a navegação de uma base robótica em um ambiente desconhecido, alguns mecanismos para detectar o posicionamento e a localização devem ser fornecidos a base. Quando a base está em processo de navegação e faz uso desses mecanismos, erros provenientes do ambiente e da base robótica são inseridos no sistema, resultando em um posicionamento errôneo. Uma fo
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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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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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Bezerra, Clauber Gomes. "Localiza??o de um rob? m?vel usando odometria e marcos naturais." Universidade Federal do Rio Grande do Norte, 2004. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15411.

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Made available in DSpace on 2014-12-17T14:56:01Z (GMT). No. of bitstreams: 1 ClauberGB.pdf: 726956 bytes, checksum: d3fb1b2d7c6ad784a1b7d40c1a54f8f8 (MD5) Previous issue date: 2004-03-08<br>Several methods of mobile robot navigation request the mensuration of robot position and orientation in its workspace. In the wheeled mobile robot case, techniques based on odometry allow to determine the robot localization by the integration of incremental displacements of its wheels. However, this technique is subject to errors that accumulate with the distance traveled by the robot, making unfeasible i
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Delgado, Vargas Jaime Armando 1986. "Localização e navegação de robô autônomo através de odometria e visão estereoscópica." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264542.

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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 2018-08-20T13:27:04Z (GMT). No. of bitstreams: 1 DelgadoVargas_JaimeArmando_M.pdf: 4350704 bytes, checksum: 8e7dab5b1630b88bde95e287a62b2f7e (MD5) Previous issue date: 2012<br>Resumo: Este trabalho apresenta a implementação de um sistema de navegação com visão estereoscópica em um robô móvel, que permite a construção de mapa de ambiente e localização. Para isto é necessário conhecer o modelo cinemático do robô, técnicas de contr
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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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Books on the topic "Odometria"

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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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Book chapters on the topic "Odometria"

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Harrison, Steven J., and M. T. Turvey. "Odometry." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-47829-6_1474-1.

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Röfer, Thomas. "Routenbeschreibung durch Odometrie-Scans." In Informatik aktuell. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60043-2_15.

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Lamon, Pierre. "3D-Odometry." In Springer Tracts in Advanced Robotics. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78287-2_3.

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Ben-Ari, Mordechai, and Francesco Mondada. "Robotic Motion and Odometry." In Elements of Robotics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62533-1_5.

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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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Santamaria-Navarro, A., J. Solà, and J. Andrade-Cetto. "Odometry Estimation for Aerial Manipulators." In Springer Tracts in Advanced Robotics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12945-3_15.

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Dudek, Gregory, and Michael Jenkin. "Inertial Sensing, GPS and Odometry." In Springer Handbook of Robotics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32552-1_29.

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Murphy, Liz, Timothy Morris, Ugo Fabrizi, et al. "Experimental Comparison of Odometry Approaches." In Experimental Robotics. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00065-7_58.

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Dudek, Gregory, and Michael Jenkin. "Inertial Sensors, GPS, and Odometry." In Springer Handbook of Robotics. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-30301-5_21.

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Conference papers on the topic "Odometria"

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Eduardo Cota, Filipe Augusto Santos Rocha, Héctor Azpúrua, and Gustavo Medeiros Freitas. "AVALIAÇÃO DE TÉCNICAS DE ODOMETRIA APLICADAS A UM DISPOSITIVO ROBÓTICO MÓVEL." In XXII Congresso Brasileiro de Automática. SBA Sociedade Brasileira de Automática, 2018. http://dx.doi.org/10.20906/cps/cba2018-1216.

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Do Carmo, Alexandre Pereira, Felippe Mendonça De Queiroz, Clebeson Canuto Dos Santos, Leonardo De Assis Silva, and Raquel Frizera Vassallo. "Uso de um Espaço Inteligente Baseado em Visão Computacional para o Controle de Formação de Robôs Móveis." In Simpósio Brasileiro de Computação Ubíqua e Pervasiva. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/sbcup.2020.11223.

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É sabido que usar apenas odometria na localização de robôs móveis leva a um crescente acúmulo de erro. Esse problema torna-se maior quando se busca coordenar os movimentos de mais de um robô para atuarem em formação. Sendo assim, este trabalho propõe o uso de um espaço inteligente baseado em visão computacional como uma infraestrutura de serviços para aplicações de robótica móvel, como exemplo, o controle de formação de robôs. A arquitetura baseada em microserviços e computação em nuvem oferece à aplicação flexibilidade, baixa latência e escalabilidade. Os resultados obtidos demonstram a viabi
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Pereira da Cruz Júnior, Gilmar, Lucas Vinicius Do Carmo Matos, Héctor Azpúrua, Gustavo Pessin, and Gustavo Medeiros Freitas. "Investigação de Técnicas LiDAR SLAM para um Dispositivo Robótico de Inspeção de Ambientes Confinados." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1041.

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A exploração e monitoramento de ambientes confinados, presentes em áreas de produção industrial e mineração, representam riscos aos operadores envolvidos. Buscando maior segurança operacional, o Instituto Tecnológico Vale, em parceria com a Universidade Federal de Minas Gerais, vem desenvolvendo o EspeleoRobô, uma plataforma robótica utilizada na inspeção de cavidades naturais e galerias de barragens e dreno. Estes ambientes apresentam grandes desafios à robótica, principalmente em relação a estimação da pose do robô e geração de mapas do ambiente, essenciais para a navegação autônoma. Uma est
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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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Rios, Marcel, and José Francisco Netto. "Análise da Trajetória de Robô Móvel Utilizando Odometria como Técnica para Navegação em Ambientes de Robótica Educacional." In XXVII Simpósio Brasileiro de Informática na Educação. Sociedade Brasileira de Computação - SBC, 2016. http://dx.doi.org/10.5753/cbie.sbie.2016.667.

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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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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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Abstract:
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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