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A survey: which features are required for dynamic visual simultaneous localization and mapping? [PDF]
Visual Computing for Industry, Biomedicine, and Art, 2021 In recent years, simultaneous localization and mapping in dynamic environments (dynamic SLAM) has attracted significant attention from both academia and industry.
Zewen Xu, Zheng Rong, Yihong Wu
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Simultaneous Localization and Mapping (SLAM) for Autonomous Driving: Concept and Analysis
Remote Sensing, 2023 The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing progress over the last few decades and has generated considerable interest in the autonomous driving community.
Shuran Zheng +4 more
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Cooperative simultaneous localization and mapping algorithm based on distributed particle filter
International Journal of Advanced Robotic Systems, 2019 In this article, cooperative simultaneous localization and mapping algorithm based on distributed particle filter is proposed for multi-robot cooperative simultaneous localization and mapping system.
Shuhuan Wen +3 more
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Simultaneous localization and mapping for autonomous bicycles
International Journal of Advanced Robotic Systems, 2017 Bicycles and similar two-wheeled vehicles are a scientifically interesting category of means of transportation, whose simultaneous localization and mapping problem, in contrast to other ground vehicles, has yet to be examined in depth and fully resolved.
Sotirios Stasinopoulos +2 more
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Simultaneous localization and mapping: part I
IEEE Robotics and Automation Magazine, 2006 This paper describes the simultaneous localization and mapping (SLAM) problem and the essential methods for solving the SLAM problem and summarizes key implementations and demonstrations of the method. While there are still many practical issues to overcome, especially in more complex outdoor environments, the general SLAM method is now a well ...
H Durrant-Whyte, T Bailey
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Survey of simultaneous localization and mapping based on environmental semantic information
工程科学学报, 2021 The simultaneous localization and mapping (SLAM) technique is an important research direction in robotics. Although the traditional SLAM has reached a high level of real-time performance, major shortcomings still remain in its positioning accuracy and ...
Xiao-qian LI +4 more
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Simultaneous calibration, localization, and mapping [PDF]
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011 The calibration parameters of a mobile robot play a substantial role in navigation tasks. Often these parameters are subject to variations that depend either on environmental changes or on the wear of the devices. In this paper, we propose an approach to simultaneously estimate a map of the environment, the position of the on-board sensors of the robot,
Rainer Kummerle +2 more
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Simultaneous Localization and Mapping with One Particle
2021 29th Signal Processing and Communications Applications Conference (SIU), 2021 Rao-Blackwellized particle filter (RBPF) is one of the powerful techniques for simultaneous localization and mapping (SLAM) since it factorizes the posteriors over the maps and potential trajectories of the robot. RBPF has its own advantages as well as disadvantages. RBPF approach has a major problem with computational complexity and this is related to
Yeniaydin, Yasin, Koklucan, Semih
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An Extended Kalman Filter for Magnetic Field SLAM Using Gaussian Process Regression
Sensors, 2022 We present a computationally efficient algorithm for using variations in the ambient magnetic field to compensate for position drift in integrated odometry measurements (dead-reckoning estimates) through simultaneous localization and mapping (SLAM). When
Frida Viset, Rudy Helmons, Manon Kok
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Simultaneous localization, mapping and deblurring [PDF]
2011 International Conference on Computer Vision, 2011 Handling motion blur is one of important issues in visual SLAM. For a fast-moving camera, motion blur is an unavoidable effect and it can degrade the results of localization and reconstruction severely. In this paper, we present a unified algorithm to handle motion blur for visual SLAM, including the blur-robust data association method and the fast ...
Hee Seok Lee +2 more
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