Results 21 to 30 of about 3,988 (156)
SIMULTANEOUS LOCALIZATION AND MAPPING TRENDS AND HUMANOID ROBOT LINKAGES
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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D-SLAM: A Decoupled Solution to Simultaneous Localization and Mapping [PDF]
The main contribution of this paper is the reformulation of the simultaneous localization and mapping (SLAM) problem for mobile robots such that the mapping and localization can be treated as two concurrent yet separated processes: D-SLAM (decoupled SLAM).
Zhan Wang +2 more
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OC-SLAM: Steadily Tracking and Mapping in Dynamic Environments
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
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
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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A New Method of Simultaneous Localization and Mapping for Mobile Robots Using Acoustic Landmarks
The simultaneous localization and mapping (SLAM) problem for mobile robots has always been a hotspot in the field of robotics. Simultaneous localization and mapping for robots using visual sensors and laser radar is easily affected by the field of view ...
Xiaohui Chen, Hao Sun, Heng Zhang
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The Mobile Mapping System (MMS) plays a crucial role in generating accurate 3D maps for a wide range of applications. However, traditional MMS that utilizes tilted LiDAR (light detection and ranging) faces limitations in capturing comprehensive ...
Yujia Zhang, Jungwon Kang, Gunho Sohn
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Generative Simultaneous Localization and Mapping (G-SLAM)
Environment perception is a crucial ability for robot's interaction into an environment. One of the first steps in this direction is the combined problem of simultaneous localization and mapping (SLAM). A new method, called G-SLAM, is proposed, where the map is considered as a set of scattered points in the continuous space followed by a probability ...
Nikos Zikos, Vassilios Petridis
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Even when simultaneous localization and mapping (SLAM) solutions have been broadly developed, the vast majority of them relate to a single robot performing measurements in static environments.
S. Badalkhani, R. Havangi
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IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping
To be published in CoRL 2020 (Conference on Robot Learning)
Sadegh Rabiee, Joydeep Biswas
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