Simultaneous localization and mapping

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Simultaneous localization and mapping (SLAM) is a technique used by robots and autonomous vehicles to build up a map within an unknown environment (without a priori knowledge), or to update a map within a known environment (with a priori knowledge from a given map), while at the same time keeping track of their current location. (Wikipedia.org)






Conferences related to Simultaneous localization and mapping

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2020 57th ACM/ESDA/IEEE Design Automation Conference (DAC)

The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2022 59th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2021 58th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2018 55th ACM//IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC Description for TMRF The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading

  • 2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 session on design methodologies and EDA tool developments, keynotes, panels, plus User Track presentations. A diverse worldwide community representing more than 1,000 organization attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2012 49th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers

  • 2011 48th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference is the world s leading technical conference and tradeshow on electronic design and design automation. DAC is where the IC Design and EDA ecosystem learns, networks, and does business.

  • 2010 47th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers.

  • 2009 46th ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC is the premier event for the electronic design community. DAC offers the industry s most prestigious technical conference in combination with the biggest exhibition, bringing together design, design automation and manufacturing market influencers.

  • 2008 45th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 250 of the leading electronics design suppliers.

  • 2007 44th ACM/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier Electronic Design Automation (EDA) and silicon solution event. DAC features over 50 technical sessions covering the latest in design methodologies and EDA tool developments and an Exhibition and Demo Suite area with over 250 of the leading EDA, silicon and IP Providers.

  • 2006 43rd ACM/IEEE Design Automation Conference (DAC)


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.


2019 IEEE 58th Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).


2019 IEEE International Conference on Industrial Technology (ICIT)

The scope of the conference will cover, but will not be limited to, the following topics: Robotics; Mechatronics; Industrial Automation; Autonomous Systems; Sensing and artificial perception, Actuators and Micro-nanotechnology; Signal/Image Processing and Computational Intelligence; Control Systems; Electronic System on Chip and Embedded Control; Electric Transportation; Power Electronics; Electric Machines and Drives; Renewable Energy and Smart Grid; Data and Software Engineering, Communication; Networking and Industrial Informatics.


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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Distributed Systems Online, IEEE

After nine years of publication, DS Online will be moving into a new phase as part of Computing Now (http://computingnow.computer.org), a new website providing the front end to all of the Computer Society's magazines. As such, DS Online will no longer be publishing standalone peer-reviewed articles.


Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


Geoscience and Remote Sensing Letters, IEEE

It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...


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Most published Xplore authors for Simultaneous localization and mapping

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Xplore Articles related to Simultaneous localization and mapping

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An Empirical Evaluation of Ten Depth Cameras: Bias, Precision, Lateral Noise, Different Lighting Conditions and Materials, and Multiple Sensor Setups in Indoor Environments

[{u'author_order': 1, u'affiliation': u'Automation and Control Institute, TU Wien, Vienna, A-1040, Austria', u'full_name': u'Georg Halmetschlager-Funek'}, {u'author_order': 2, u'affiliation': u'Automation and Control Institute, TU Wien, Vienna, A-1040, Austria', u'full_name': u'Markus Suchi'}, {u'author_order': 3, u'affiliation': u'Computer Vision Lab, TU Wien, Vienna, Austria', u'full_name': u'Martin Kampel'}, {u'author_order': 4, u'affiliation': u'Automation and Control Institute, TU Wien, Vienna, A-1040, Austria', u'full_name': u'Markus Vincze'}] IEEE Robotics & Automation Magazine, None

None


Simultaneous Localization and Mapping with the Kinect sensor

[{u'author_order': 1, u'full_name': u'Thomas Emter'}, {u'author_order': 2, u'full_name': u'Andreas Stein'}] ROBOTIK 2012; 7th German Conference on Robotics, 2012

A very important prerequisite for mobile robots to navigate autonomously is their ability to build a map while exploring unknown areas. In this paper we present an algorithm for simultaneous localization and mapping for indoor environments based on the Kinect sensor. The algorithm is capable of building a 3D voxel map including color information and performing localization with scan matching. ...


Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality

[{u'author_order': 1, u'affiliation': u'Department of Computing, Imperial College London, London, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/38192904000', u'full_name': u'Sajad Saeedi', u'id': 38192904000}, {u'author_order': 2, u'affiliation': u'School of Informatics, University of Edinburgh, Edinburgh, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37071303600', u'full_name': u'Bruno Bodin', u'id': 37071303600}, {u'author_order': 3, u'affiliation': u'School of Informatics, University of Edinburgh, Edinburgh, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37071222700', u'full_name': u'Harry Wagstaff', u'id': 37071222700}, {u'author_order': 4, u'affiliation': u'School of Computer Science, University of Manchester, Manchester, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37341557500', u'full_name': u'Andy Nisbet', u'id': 37341557500}, {u'author_order': 5, u'affiliation': u'Division of Electrical Engineering - Computer Systems, Stanford University, Stanford, CA, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085408295', u'full_name': u'Luigi Nardi', u'id': 37085408295}, {u'author_order': 6, u'affiliation': u'School of Computer Science, University of Manchester, Manchester, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085357934', u'full_name': u'John Mawer', u'id': 37085357934}, {u'author_order': 7, u'affiliation': u'Department of Computing, Imperial College London, London, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085654181', u'full_name': u'Nicolas Melot', u'id': 37085654181}, {u'author_order': 8, u'affiliation': u'School of Computer Science, University of Manchester, Manchester, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37400104000', u'full_name': u'Oscar Palomar', u'id': 37400104000}, {u'author_order': 9, u'affiliation': u'Department of Computing, Imperial College London, London, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37077731600', u'full_name': u'Emanuele Vespa', u'id': 37077731600}, {u'author_order': 10, u'affiliation': u'School of Informatics, University of Edinburgh, Edinburgh, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085571037', u'full_name': u'Tom Spink', u'id': 37085571037}, {u'author_order': 11, u'affiliation': u'School of Computer Science, University of Manchester, Manchester, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086180708', u'full_name': u'Cosmin Gorgovan', u'id': 37086180708}, {u'author_order': 12, u'affiliation': u'School of Computer Science, University of Manchester, Manchester, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086496826', u'full_name': u'Andrew Webb', u'id': 37086496826}, {u'author_order': 13, u'affiliation': u'School of Computer Science, University of Manchester, Manchester, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086495016', u'full_name': u'James Clarkson', u'id': 37086495016}, {u'author_order': 14, u'affiliation': u'School of Informatics, University of Edinburgh, Edinburgh, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086017285', u'full_name': u'Erik Tomusk', u'id': 37086017285}, {u'author_order': 15, u'affiliation': u'Department of Computing, Imperial College London, London, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086496554', u'full_name': u'Thomas Debrunner', u'id': 37086496554}, {u'author_order': 16, u'affiliation': u'School of Informatics, University of Edinburgh, Edinburgh, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086493343', u'full_name': u'Kuba Kaszyk', u'id': 37086493343}, {u'author_order': 17, u'affiliation': u'Department of Computing, Imperial College London, London, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085800647', u'full_name': u'Pablo Gonzalez-De-Aledo', u'id': 37085800647}, {u'author_order': 18, u'affiliation': u'School of Computer Science, University of Manchester, Manchester, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37086153732', u'full_name': u'Andrey Rodchenko', u'id': 37086153732}, {u'author_order': 19, u'affiliation': u'School of Computer Science, University of Manchester, Manchester, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37085424939', u'full_name': u'Graham Riley', u'id': 37085424939}, {u'author_order': 20, u'affiliation': u'School of Computer Science, University of Manchester, Manchester, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37392849400', u'full_name': u'Christos Kotselidis', u'id': 37392849400}, {u'author_order': 21, u'affiliation': u'School of Informatics, University of Edinburgh, Edinburgh, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37593805500', u'full_name': u'Bj\xf6rn Franke', u'id': 37593805500}, {u'author_order': 22, u'affiliation': u'School of Informatics, University of Edinburgh, Edinburgh, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/38181421900', u'full_name': u'Michael F. P. O\u2019Boyle', u'id': 38181421900}, {u'author_order': 23, u'affiliation': u'Department of Computing, Imperial College London, London, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37293837200', u'full_name': u'Andrew J. Davison', u'id': 37293837200}, {u'author_order': 24, u'affiliation': u'Department of Computing, Imperial College London, London, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37300638200', u'full_name': u'Paul H. J. Kelly', u'id': 37300638200}, {u'author_order': 25, u'affiliation': u'School of Computer Science, University of Manchester, Manchester, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37392848800', u'full_name': u'Mikel Luj\xe1n', u'id': 37392848800}, {u'author_order': 26, u'affiliation': u'School of Computer Science, University of Manchester, Manchester, U.K', u'authorUrl': u'https://ieeexplore.ieee.org/author/37267185200', u'full_name': u'Steve Furber', u'id': 37267185200}] Proceedings of the IEEE, 2018

Visual understanding of 3-D environments in real time, at low power, is a huge computational challenge. Often referred to as simultaneous localization and mapping (SLAM), it is central to applications spanning domestic and industrial robotics, autonomous vehicles, and virtual and augmented reality. This paper describes the results of a major research effort to assemble the algorithms, architectures, tools, and systems ...


A Sparse Separable SLAM Back-End

[{u'author_order': 1, u'affiliation': u'Faculty of Engineering and Information Technology, Centre for Autonomous Systems, University of Technology Sydney, Sydney, NSW, Australia', u'full_name': u'Kasra Khosoussi'}, {u'author_order': 2, u'affiliation': u'Faculty of Engineering and Information Technology, Centre for Autonomous Systems, University of Technology Sydney, Sydney, NSW, Australia', u'full_name': u'Shoudong Huang'}, {u'author_order': 3, u'affiliation': u'Faculty of Engineering and Information Technology, Centre for Autonomous Systems, University of Technology Sydney, Sydney, NSW, Australia', u'full_name': u'Gamini Dissanayake'}] IEEE Transactions on Robotics, 2016

We propose a scalable algorithm to take advantage of the separable structure of simultaneous localization and mapping (SLAM). Separability is an overlooked structure of SLAM that distinguishes it from a generic nonlinear least-squares problem. The standard relative-pose and relative-position measurement models in SLAM are affine with respect to robot and features' positions. Therefore, given an estimate for robot orientation, the ...


Determining locations of intracardiac basket and probe electrodes from multiplane fluoroscopic images

[{u'author_order': 1, u'affiliation': u'Baylor Coll. of Med., Houston, TX, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37373176800', u'full_name': u'E.O. Velipasaoglu', u'id': 37373176800}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37351789700', u'full_name': u'K.L. Berrier', u'id': 37351789700}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37365762200', u'full_name': u'H. Sun', u'id': 37365762200}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37323888000', u'full_name': u'D.S. Khoury', u'id': 37323888000}] Computers in Cardiology 1998. Vol. 25 (Cat. No.98CH36292), 1998

A method based on computed-tomographic reconstruction was developed to determine three-dimensional locations of electrodes on a concentric pair of a cylindrical probe and a basket-shaped catheter deployed in the intact canine left ventricle. The reconstructed geometric model was validated by assessing the quality of the solution to the forward problem relating endocardial potentials to probe potentials.


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IEEE-USA E-Books

  • A Linear Approximation for Graph-Based Simultaneous Localization and Mapping

    This article investigates the problem of Simultaneous Localization and Mapping (SLAM) from the perspective of linear estimation theory. The problem is first formulated in terms of graph embedding: a graph describing robot poses at subsequent instants of time needs be embedded in a three-dimensional space, assuring that the estimated configuration maximizes measurement likelihood. Combining tools belonging to linear estimation and graph theory, a closed-form approximation to the full SLAM problem is proposed, under the assumption that the relative position and the relative orientation measurements are independent. The approach needs no initial guess for optimization and is formally proven to admit solution under the SLAM setup. The resulting estimate can be used as an approximation of the actual nonlinear solution or can be further refined by using it as an initial guess for nonlinear optimization techniques. Finally, the experimental analysis demonstrates that such refinement is often unnecessary, since the linear estimate is already accurate.

  • Factor Graphs for Robot Perception

    Factor Graphs for Robot Perception reviews the use of factor graphs for the modeling and solving of large-scale inference problems in robotics. Factor graphs are a family of probabilistic graphical models, other examples of which are Bayesian networks and Markov random fields, well known from the statistical modeling and machine learning literature. They provide a powerful abstraction that gives insight into particular inference problems, making it easier to think about and design solutions, and write modular software to perform the actual inference. This book illustrates their use in the simultaneous localization and mapping problem and other important problems associated with deploying robots in the real world. 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. The book explains the nonlinear optimization techniques for solving arbitrary nonlinear factor graphs, which requires repeatedly solving large sparse linear systems. Factor Graphs for Robot Perception will be of interest to students, researchers and practicing roboticists with an interest in the broad impact factor graphs have had, and continue to have, in robot perception.

  • Localization for Autonomous Driving

    This chapter reviews state‐of‐the‐art sensors, instrumentation and algorithms used for localization of autonomous vehicles. The current localization approaches for autonomous driving involve localizing by satellite navigation systems, vehicle motion sensors, range sensors, and vision sensors. The chapter presents current localization approaches, which are categorized as global localization, relative localization, and simultaneous localization and mapping (SLAM). In relative localization, visual odometry (VO) is specifically highlighted with details. The chapter describes the two main approaches of VO: appearance‐based and feature‐based approaches. Three main approaches of SLAM, namely, Kalman filter, particle filter, and graph‐based approaches, are presented. The chapter presents estimation, filtering, and sensor fusion techniques for cooperative localization. It finally reviews some current localization techniques in use and discusses potential solutions to these gaps, as well as future directions for localization in autonomous driving.

  • On the Structure of Nonlinearities in Pose Graph SLAM

    Pose graphs have become an attractive representation for solving Simultaneous Localization and Mapping (SLAM) problems. In this paper, we analyze the structure of the nonlinearities in the 2D SLAM problem formulated as the optimizing of a pose graph. First, we prove that finding the optimal configuration of a very basic pose graph with 3 nodes (poses) and 3 edges (relative pose constraints) with spherical covariance matrices, which can be formulated as a six dimensional least squares optimization problem, is equivalent to solving a one dimensional optimization problem. Then we show that the same result can be extended to the optimizing of a pose graph with “two anchor nodes” where every edge is connecting to one of the two anchor nodes. Furthermore, we prove that the global minimum of the resulting one dimensional optimization problem must belong to a certain interval and there are at most 3 minima in that interval. Thus the globally optimal pose configuration of the pose graph can be obtained very easily through the bisection method and closed-form formulas.



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