Results 1 to 10 of about 66,733 (278)

Simultaneous Localization and Mapping (SLAM) for Autonomous Driving: Concept and Analysis

open access: yesRemote Sensing, 2023
The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing progress over the last few decades and has generated considerable interest in the autonomous driving community.
Shuran Zheng   +4 more
doaj   +4 more sources

Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age [PDF]

open access: yesIEEE Transactions on Robotics, 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. The SLAM community has made astonishing progress over the last 30
Ian Reid, Henry Carrillo, Cesar Cadena
exaly   +2 more sources

A Review of Simultaneous Localization and Mapping for the Robotic-Based Nondestructive Evaluation of Infrastructures. [PDF]

open access: yesSensors (Basel)
The maturity of simultaneous localization and mapping (SLAM) methods has now reached a significant level that motivates in-depth and problem-specific reviews.
Ghadimzadeh Alamdari A   +2 more
europepmc   +2 more sources

A survey: which features are required for dynamic visual simultaneous localization and mapping? [PDF]

open access: yesVisual Computing for Industry, Biomedicine, and Art, 2021
In recent years, simultaneous localization and mapping in dynamic environments (dynamic SLAM) has attracted significant attention from both academia and industry.
Zewen Xu, Zheng Rong, Yihong Wu
doaj   +2 more sources

Simultaneous Localization and Mapping (SLAM) and Data Fusion in Unmanned Aerial Vehicles: Recent Advances and Challenges

open access: yesDrones, 2022
This article presents a survey of simultaneous localization and mapping (SLAM) and data fusion techniques for object detection and environmental scene perception in unmanned aerial vehicles (UAVs). We critically evaluate some current SLAM implementations
Xavier N. Fernando, Abhishek Gupta
exaly   +2 more sources

LeGO-LOAM-SC: An Improved Simultaneous Localization and Mapping Method Fusing LeGO-LOAM and Scan Context for Underground Coalmine. [PDF]

open access: yesSensors (Basel), 2022
Simultaneous localization and mapping (SLAM) is one of the key technologies for coal mine underground operation vehicles to build complex environment maps and positioning and to realize unmanned and autonomous operation.
Xue G, Wei J, Li R, Cheng J.
europepmc   +2 more sources

Cooperative simultaneous localization and mapping algorithm based on distributed particle filter

open access: yesInternational Journal of Advanced Robotic Systems, 2019
In this article, cooperative simultaneous localization and mapping algorithm based on distributed particle filter is proposed for multi-robot cooperative simultaneous localization and mapping system.
Shuhuan Wen   +3 more
doaj   +2 more sources

A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping. [PDF]

open access: yesSensors (Basel), 2020
Autonomous navigation requires both a precise and robust mapping and localization solution. In this context, Simultaneous Localization and Mapping (SLAM) is a very well-suited solution.
Debeunne C, Vivet D.
europepmc   +2 more sources

Simultaneous localization and mapping for autonomous bicycles

open access: yesInternational Journal of Advanced Robotic Systems, 2017
Bicycles and similar two-wheeled vehicles are a scientifically interesting category of means of transportation, whose simultaneous localization and mapping problem, in contrast to other ground vehicles, has yet to be examined in depth and fully resolved.
Sotirios Stasinopoulos   +2 more
doaj   +2 more sources

Simultaneous localization and mapping (SLAM)-based robot localization and navigation algorithm

open access: yesApplied Water Science
This research paper presents a comprehensive study of the simultaneous localization and mapping (SLAM) algorithm for robot localization and navigation in unknown environments.
Junfu Qiao, Jinqin Guo, Yongwei Li
doaj   +2 more sources

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