Results 21 to 30 of about 3,988 (156)

SIMULTANEOUS LOCALIZATION AND MAPPING TRENDS AND HUMANOID ROBOT LINKAGES

open access: yesAsia-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
doaj   +1 more source

D-SLAM: A Decoupled Solution to Simultaneous Localization and Mapping [PDF]

open access: yesThe International Journal of Robotics Research, 2007
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
openaire   +1 more source

OC-SLAM: Steadily Tracking and Mapping in Dynamic Environments

open access: yesFrontiers 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
doaj   +1 more source

Real-Time Direct Monocular SLAM With Learning-Based Confidence Estimation

open access: yesIEEE 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
doaj   +1 more source

An Overview of Key SLAM Technologies for Underwater Scenes

open access: yesRemote 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
doaj   +1 more source

A New Method of Simultaneous Localization and Mapping for Mobile Robots Using Acoustic Landmarks

open access: yesApplied Sciences, 2019
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
doaj   +1 more source

PVL-Cartographer: Panoramic Vision-Aided LiDAR Cartographer-Based SLAM for Maverick Mobile Mapping System

open access: yesRemote Sensing, 2023
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
doaj   +1 more source

Generative Simultaneous Localization and Mapping (G-SLAM)

open access: yesCoRR, 2016
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
openaire   +2 more sources

Effects of Moving Landmark’s Speed on Multi-Robot Simultaneous Localization and Mapping in Dynamic Environments

open access: yesIranian Journal of Electrical and Electronic Engineering, 2021
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
doaj  

IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping

open access: yesCoRR, 2020
To be published in CoRL 2020 (Conference on Robot Learning)
Sadegh Rabiee, Joydeep Biswas
openaire   +3 more sources

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