Results 41 to 50 of about 55,473 (273)
International Journal of Digital Earth, 2022 Simultaneous Localization and Mapping (SLAM) has been widely used in emergency response, self-driving and city-scale 3D mapping and navigation. Recent deep-learning based feature point extractors have demonstrated superior performance in dealing with the
Jing Li +6 more
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SLAM Overview: From Single Sensor to Heterogeneous Fusion
Remote Sensing, 2022 After decades of development, LIDAR and visual SLAM technology has relatively matured and been widely used in the military and civil fields. SLAM technology enables the mobile robot to have the abilities of autonomous positioning and mapping, which ...
Weifeng Chen +6 more
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GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion
, 2017 Many monocular visual SLAM algorithms are derived from incremental structure-from-motion (SfM) methods. This work proposes a novel monocular SLAM method which integrates recent advances made in global SfM. In particular, we present two main contributions
Tan, Ping, Tang, Chengzhou, Wang, Oliver
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KEYFRAME-BASED VISUAL-INERTIAL SLAM USING NONLINEAR OPTIMIZATION [PDF]
, 2013 —The fusion of visual and inertial cues has become popular in robotics due to the complementary nature of the two sensing modalities. While most fusion strategies to date rely on filtering schemes, the visual robotics community has recently turned to non-
Chli, Margarita +5 more
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Collaborative visual SLAM for multiple agents:A brief survey
Virtual Reality & Intelligent Hardware, 2019 This article presents a brief survey to visual simultaneous localization and mapping (SLAM) systems applied to multiple independently moving agents, such as a team of ground or aerial vehicles, a group of users holding augmented or virtual reality ...
Danping Zou, Ping Tan, Wenxian Yu
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H-SLAM: Hybrid direct–indirect visual SLAM
Robotics and Autonomous SystemsThe recent success of hybrid methods in monocular odometry has led to many attempts to generalize the performance gains to hybrid monocular SLAM. However, most attempts fall short in several respects, with the most prominent issue being the need for two different map representations (local and global maps), with each requiring different ...
Georges Younes +3 more
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Journal of Computational Vision and Imaging Systems, 2016 The fundamental shortcoming underlying monocular-based localizationand mapping solutions (SfM, Visual SLAM) is the fact thatthe obtained maps and motion are solved up to an unknown scale.Yet, the literature provides interesting solutions to scale estimationusing cues from focus or defocus of a camera.
Nolan Lunscher +6 more
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Direct Visual SLAM Fusing Proprioception for a Humanoid Robot [PDF]
, 2017 In this paper we investigate the application of semi-dense visual Simultaneous Localisation and Mapping (SLAM) to the humanoid robotics domain. Challenges of visual SLAM applied to humanoids include the type of dynamic motion executed by the robot, a ...
Fallon, Maurice +3 more
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DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
, 2018 Simultaneous Localization and Mapping (SLAM) is considered to be a fundamental capability for intelligent mobile robots. Over the past decades, many impressed SLAM systems have been developed and achieved good performance under certain circumstances ...
Fei, Qiao +6 more
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Relative localization for aerial manipulation with PL-SLAM [PDF]
, 2019 The final publication is available at link.springer.comThis chapter explains a precise SLAM technique, PL-SLAM, that allows to simultaneously process points and lines and tackle situations where point-only based methods are prone to fail, like poorly ...
Agudo Martínez, Antonio +4 more
core +2 more sources