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Author: Rubén Mascaró Palliser Publisher: ISBN: Category : Languages : en Pages :
Book Description
Ing accurate, high-rate pose estimates from proprioceptive and/or exteroceptive measurements is the first step in the development of navigation algorithms for agile mobile robots such as Unmanned Aerial Vehicles (UAVs). In this paper, we propose a decoupled multi-sensor fusion approach that allows the combination of generic 6D visual-inertial (VI) odometry poses and 3D globally referenced positions to infer the global 6D pose of the robot in real-time. Our approach casts the fusion as a real-time alignment problem between the local base frame of the VI odometry and the global base frame. The quasi-constant alignment transformation that relates these coordinate systems is continuously updated employing graph- based optimization with a sliding window. We evaluate the presented pose estimation method on both simulated data and large outdoor experiments using a small UAV that is capable to run our system onboard. Results are compared against different state-of-the-art sensor fusion frameworks, revealing that the proposed approach is substantially more accurate than other decoupled fusion strategies. We also demonstrate comparable results in relation with a finely tuned Extended Kalman Filter that fuses visual, inertial and GPS measurements in a coupled way and show that our approach is generic enough to deal with different input sources in ner, as well as able to run in real-time.
Author: Rubén Mascaró Palliser Publisher: ISBN: Category : Languages : en Pages :
Book Description
Ing accurate, high-rate pose estimates from proprioceptive and/or exteroceptive measurements is the first step in the development of navigation algorithms for agile mobile robots such as Unmanned Aerial Vehicles (UAVs). In this paper, we propose a decoupled multi-sensor fusion approach that allows the combination of generic 6D visual-inertial (VI) odometry poses and 3D globally referenced positions to infer the global 6D pose of the robot in real-time. Our approach casts the fusion as a real-time alignment problem between the local base frame of the VI odometry and the global base frame. The quasi-constant alignment transformation that relates these coordinate systems is continuously updated employing graph- based optimization with a sliding window. We evaluate the presented pose estimation method on both simulated data and large outdoor experiments using a small UAV that is capable to run our system onboard. Results are compared against different state-of-the-art sensor fusion frameworks, revealing that the proposed approach is substantially more accurate than other decoupled fusion strategies. We also demonstrate comparable results in relation with a finely tuned Extended Kalman Filter that fuses visual, inertial and GPS measurements in a coupled way and show that our approach is generic enough to deal with different input sources in ner, as well as able to run in real-time.
Author: Timothy D. Barfoot Publisher: Cambridge University Press ISBN: 1107159393 Category : Computers Languages : en Pages : 381
Book Description
A modern look at state estimation, targeted at students and practitioners of robotics, with emphasis on three-dimensional applications.
Author: Frank Dellaert Publisher: ISBN: 9781680833263 Category : Technology & Engineering Languages : en Pages : 162
Book Description
Reviews the use of factor graphs for the modeling and solving of large-scale inference problems in robotics. Factor graphs are introduced as an economical representation within which to formulate the different inference problems, setting the stage for the subsequent sections on practical methods to solve them.
Author: Cédric Pradalier Publisher: Springer Science & Business Media ISBN: 3642194567 Category : Technology & Engineering Languages : en Pages : 752
Book Description
This volume presents a collection of papers presented at the 14th International Symposium of Robotic Research (ISRR). ISRR is the biennial meeting of the International Foundation of Robotic Research (IFRR) and its 14th edition took place in Lucerne, Switzerland, from August 31st to September 3rd, 2009. As for the previous symposia, ISRR 2009 followed up on the successful concept of a mixture of invited contributions and open submissions. Half of the 48 presentations were therefore invited contributions from outstanding researchers selected by the IFRR officers, and half were chosen among the 66 submissions after peer review. This selection process resulted in a truly excellent technical program which, we believe, featured some of the very best of robotic research. Out of the 48 presentations, the 42 papers which were finally submitted for publication are organized in 8 sections that encompass the major research orientations in robotics: Navigation, Control & Planning, Human-Robot Interaction, Manipulation and Humanoids, Learning, Mapping, Multi-Robot Systems, and Micro-Robotics. They represent an excellent snapshot of cutting-edge research in robotics and outline future directions.
Author: David Hall Publisher: CRC Press ISBN: 1420038540 Category : Technology & Engineering Languages : en Pages : 564
Book Description
The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut
Author: Shaoshan Liu Publisher: Morgan & Claypool Publishers ISBN: 1681731673 Category : Computers Languages : en Pages : 285
Book Description
This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.
Author: Soren W. Henriksen Publisher: American Geophysical Union ISBN: 0875900151 Category : Science Languages : en Pages : 293
Book Description
Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 15. This monograph contains 34 communications presented at the Third International Symposium on the Use of Artificial Satellites for Geodesy in 1971, and 4 invited papers on subjects that complement the others and provide continuity. All contributions represent the most recent findings in the theoretical and applied fields of satellite geodesy, including new instrumentation (satellite sensors and ground equipment) of potential use in satellite geodesy. The two preceding symposiums were held at Washington, D.C., in 1962 and at Athens, Greece, in 1965. The Proceedings of the first were published by North-Holland Publishing Company, Amsterdam, in 1963, and the Proceedings of the second by the National Technical University, Athens, in 1967. The prime mover behind both was George Veis, and his continuing dedication to this subject was in large measure responsible for scheduling this third symposium.
Author: Dan Simon Publisher: John Wiley & Sons ISBN: 0470045337 Category : Technology & Engineering Languages : en Pages : 554
Book Description
A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: * Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation * Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice * MATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering. Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the reader's understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries.
Author: Rubén Mascaró Palliser
Author: Rubén Mascaró Palliser
Author: Yi Qu
Author: Simon Lynen
Author: Timothy D. Barfoot
Author: Frank Dellaert
Author: Cédric Pradalier
Author: David Hall
Author: Shaoshan Liu
Author: Soren W. Henriksen
Author: Dan Simon