López-Cerón, AlbertoCañas, José María2021-12-272021-12-272016López-Cerón, A., Cañas, J.M. Accuracy analysis of marker-based 3D visual localization. En Actas de las XXXVII Jornadas de Automática. 7, 8 y 9 de septiembre de 2016, Madrid (pp. 1124-1131). DOI capítulo: https://doi.org/10.17979/spudc.9788497498081.1124 DOI libro: https://doi.org/10.17979/spudc.9788497498081978-84-617-4298-1 (UCM)978-84-9749-808-1 (UDC electrónico)http://hdl.handle.net/2183/29246[Abstract] 3D localization from images is an useful capability for robots and cameras. One successful approach is to rely on visual SLAM techniques. Another approach, maybe more robust, is to use visual markers in the environment. In this paper a study about the accuracy of marker based visual 3D localization is presented, using AprilTags markers and the solvepnp algorithm in OpenCV library. The impact of distance to markers, number of markers, their position in the image on accuracy of the 3D estimated pose is experimentally measured and analyzed.engAtribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/deed.esVisual markers3D visual localizationconference outputopen access10.17979/spudc.9788497498081.1124