Results 21 to 30 of about 24,069 (274)
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age [PDF]
, 2016 Simultaneous Localization and Mapping (SLAM)consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it.
Cadena, Cesar +7 more
core +4 more sources
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
openaire +2 more sources
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
doaj +1 more source
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
openaire +1 more source
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
doaj +1 more source
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
core +2 more sources
Remote 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
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
doaj +1 more source
Robust Multipath-Assisted SLAM with Unknown Process Noise and Clutter Intensity
Remote Sensing, 2021 In multipath-assisted simultaneous localization and mapping (SLAM), the geometric association of specular multipath components based on radio signals with environmental features is used to simultaneously localize user equipment and map the environment ...
Zesheng Dan, Baowang Lian, Chengkai Tang
doaj +1 more source
A New Method of Simultaneous Localization and Mapping for Mobile Robots Using Acoustic Landmarks
Applied 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