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SLAM Systems: Overview of Algorithms and Applications [PDF]
Biuletyn Wojskowej Akademii TechnicznejSimultaneous Localization and Mapping (SLAM) represents a key technology enabling autonomous navigation and precise mappingof environments, whether they are unknown or lack GNSS signals.
Adrian MikoĊaj Kapski
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RadarSLAM: Radar based Large-Scale SLAM in All Weathers
, 2020 Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been presented in last decade using different sensor modalities. However, robust SLAM in extreme weather conditions is still an open research problem.
Hong, Ziyang, Petillot, Yvan, Wang, Sen
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Fusing sonars and LRF data to perform SLAM in reduced visibility scenarios [PDF]
, 2014 Simultaneous Localization and Mapping (SLAM) approaches have evolved considerably in recent years. However, there are many situations which are not easily handled, such as the case of smoky, dusty, or foggy environments where commonly used range sensors ...
Couceiro, Micael S. +3 more
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Articulated Robot Motion for Simultaneous Localization and Mapping (ARM-SLAM) [PDF]
IEEE Robotics and Automation Letters, 2016 A robot with a hand-mounted depth sensor scans a scene. When the robot's joint angles are not known with certainty, how can it best reconstruct the scene? In this work, we simultaneously estimate the joint angles of the robot and reconstruct a dense volumetric model of the scene.
Matthew, Klingensmith +2 more
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SIMULTANEOUS LOCALIZATION AND MAPPING TRENDS AND HUMANOID ROBOT LINKAGES
Asia-Pacific Journal of Information Technology and Multimedia, 2013 Simultaneous localization and mapping (SLAM), also known as concurrent mapping and localization (CML), is an important topic or robotics files. This method produces a real-time map of an environment and finds the current position of a robot on that map ...
Farshid Pirahansiah +2 more
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New framework for Simultaneous Localization and Mapping: Multi map SLAM [PDF]
2008 IEEE International Conference on Robotics and Automation, 2008 The main contribution of this paper arises from the development of a new framework, which has its inspiration in the mechanics of human navigation, for solving the problem of Simultaneous Localization and Mapping (SLAM). The proposed framework has specific relevance to vision based SLAM, in particular, small baseline stereo vision based SLAM and ...
Damith C. Herath +2 more
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Implicit sampling for path integral control, Monte Carlo localization, and SLAM [PDF]
, 2014 The applicability and usefulness of implicit sampling in stochastic optimal control, stochastic localization, and simultaneous localization and mapping (SLAM), is explored; implicit sampling is a recently-developed variationally-enhanced sampling method.
Morzfeld, Matthias
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OC-SLAM: Steadily Tracking and Mapping in Dynamic Environments
Frontiers in Energy Research, 2021 Visual Simultaneous Localization and Mapping (SLAM) system is mainly used in real-time localization and mapping tasks of robots in various complex environments, while traditional monocular vision algorithms are struggling to cope with weak texture and ...
Zhenyu Wu +3 more
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Real-Time Direct Monocular SLAM With Learning-Based Confidence Estimation
IEEE Access, 2019 Direct monocular simultaneous localization and mapping (SLAM) methods, for which the image intensity is used for tracking and mapping instead of sparse feature points, have gained in popularity in recent years. However, feature-based methods usually have
Weiqi Zhang +4 more
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An Overview of Key SLAM Technologies for Underwater Scenes
Remote Sensing, 2023 Autonomous localization and navigation, as an essential research area in robotics, has a broad scope of applications in various scenarios. To widen the utilization environment and augment domain expertise, simultaneous localization and mapping (SLAM) in ...
Xiaotian Wang +4 more
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