Výsledky vyhledávání - "Paul Furgale"

A General Approach to Spatiotemporal Calibration in Multisensor Systems

Autor: Joern Rehder, Roland Siegwart, Paul Furgale

Publikováno v: IEEE Transactions on Robotics. 32:383-398

With growing demands for accuracy in sensor fusion, increasing attention is being paid to temporal offsets as a source of deterministic error when processing data from multiple devices. Established approaches for the calibration of temporal offsets e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::57ff555c038c411c45c3503af9b3bb61
https://doi.org/10.1109/tro.2016.2529645

Zobrazit plný text záznamu

Continuous-Time Estimation of Attitude Using B-Splines on Lie Groups

Autor: James Richard Forbes, Roland Siegwart, Paul Furgale, Hannes Sommer

Publikováno v: Journal of Guidance, Control, and Dynamics. 39:242-261

Filtering algorithms are the workhorse of spacecraft attitude estimation, but recent research has shown that the use of batch estimation techniques can result in higher accuracy per unit of computational cost. This paper presents an approach for sing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9bc89f5bad931d7b98ad4d84fa93d70f
https://doi.org/10.2514/1.g001149

Zobrazit plný text záznamu

Maximum Likelihood Identification of Inertial Sensor Noise Model Parameters

Autor: Roland Siegwart, Amir Melzer, Paul Furgale, Janosch Nikolic

Publikováno v: IEEE Sensors Journal. 16:163-176

Accurate visual-inertial localization and mapping systems require accurate calibration and good sensor error models. To this end, we present a simple offline method to automatically determine the parameters of inertial sensor noise models. The propos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9a88aac7bf8d7145d1785133f7612dcb
https://doi.org/10.1109/jsen.2015.2476668

Zobrazit plný text záznamu

Continuous-time batch trajectory estimation using temporal basis functions

Autor: Chi Hay Tong, Gabe Sibley, Paul Furgale, Timothy D. Barfoot

Publikováno v: The International Journal of Robotics Research. 34:1688-1710

Roboticists often formulate estimation problems in discrete time for the practical reason of keeping the state size tractable; however, the discrete-time approach does not scale well for use with high-rate sensors, such as inertial measurement units,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::72f1188b55739e7eb045de9818b11a5e
https://doi.org/10.1177/0278364915585860

Zobrazit plný text záznamu

Summary Maps for Lifelong Visual Localization

Autor: Roland Philippsen, Mathias Bürki, Wojciech Waclaw Derendarz, Michael Bosse, Peter Mühlfellner, Paul Furgale

Publikováno v: Journal of Field Robotics. 33:561-590

Robots that use vision for localization need to handle environments that are subject to seasonal and structural change, and operate under changing lighting and weather conditions. We present a framework for lifelong localization and mapping designed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::97c9bfb7d953b09673076cc8c5e4822f
https://doi.org/10.1002/rob.21595

Zobrazit plný text záznamu

3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle Detection

Autor: Torsten Sattler, Gim Hee Lee, Lionel Heng, Marc Pollefeys, Paul Furgale, Christian Häne, Friedrich Fraundorfer

Cameras are a crucial exteroceptive sensor for self-driving cars as they are low-cost and small, provide appearance information about the environment, and work in various weather conditions. They can be used for multiple purposes such as visual navig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9aac3b1fcbd02a98df1cd3c2d88cba3e

Zobrazit plný text záznamu

Leveraging Image-based Localization for Infrastructure-based Calibration of a Multi-camera Rig

Autor: Paul Furgale, Lionel Heng, Marc Pollefeys

Publikováno v: Journal of Field Robotics. 32:775-802

Most existing calibration methods for multi-camera rigs are computationally expensive, use installations of known fiducial markers, and require expert supervision. We propose an alternative approach called infrastructure-based calibration that is eff

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::338eb1682dac71c887da88622cd6ce40
https://doi.org/10.1002/rob.21540

Zobrazit plný text záznamu

Lighting-invariant Adaptive Route Following Using Iterative Closest Point Matching

Autor: Roland Siegwart, Paul Furgale, Philipp Krusi, Bastian Bücheler, Ulrich Schwesinger, François Pomerleau

Publikováno v: Journal of Field Robotics. 32:534-564

Topological/metric route following, also called teach and repeat TR errors on the global level due to localization drift are irrelevant. This renders T&R ideal for applications in which a global positioning system may not be available, such as naviga

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d47f5fe5841d9be6919d76e0b38ca163
https://doi.org/10.1002/rob.21524

Zobrazit plný text záznamu

Associating Uncertainty With Three-Dimensional Poses for Use in Estimation Problems

Autor: Timothy D. Barfoot, Paul Furgale

Publikováno v: IEEE Transactions on Robotics. 30:679-693

In this paper, we provide specific and practical approaches to associate uncertainty with $\hbox{4} \times \hbox{4}$ transformation matrices, which is a common representation for pose variables in 3-D space. We show constraint-sensitive means of pert

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3579c525c234014df541e741301bff7f
https://doi.org/10.1109/tro.2014.2298059

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání