Results 1 to 10 of about 154,165 (294)
A survey: which features are required for dynamic visual simultaneous localization and mapping? [PDF]
Visual 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
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Survey of simultaneous localization and mapping based on environmental semantic information
工程科学学报, 2021 The simultaneous localization and mapping (SLAM) technique is an important research direction in robotics. Although the traditional SLAM has reached a high level of real-time performance, major shortcomings still remain in its positioning accuracy and ...
Xiao-qian LI +4 more
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An Extended Kalman Filter for Magnetic Field SLAM Using Gaussian Process Regression
Sensors, 2022 We present a computationally efficient algorithm for using variations in the ambient magnetic field to compensate for position drift in integrated odometry measurements (dead-reckoning estimates) through simultaneous localization and mapping (SLAM). When
Frida Viset, Rudy Helmons, Manon Kok
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Simultaneous Localization and Mapping (SLAM) for Autonomous Driving: Concept and Analysis
Remote 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
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International Journal of Advanced Robotic Systems, 2020 As one of the typical application-oriented solutions to robot autonomous navigation, visual simultaneous localization and mapping is essentially restricted to simplex environmental understanding based on geometric features of images.
Linlin Xia +5 more
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A ROS Multi-Tier UAV Localization Module Based on GNSS, Inertial and Visual-Depth Data
Drones, 2022 Uncrewed aerial vehicles (UAVs) are continuously gaining popularity in a wide spectrum of applications, while their positioning and navigation most often relies on Global Navigation Satellite Systems (GNSS).
Angelos Antonopoulos +2 more
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International Journal of Advanced Robotic Systems, 2021 As a fundamental assumption in simultaneous localization and mapping, the static scenes hypothesis can be hardly fulfilled in applications of indoor/outdoor navigation or localization.
Yujia Zhai +4 more
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Simultaneous Parameter Calibration, Localization, and Mapping [PDF]
, 2012 The calibration parameters of a mobile robot play a substantial role in navigation tasks. Often these parameters are subject to variations that depend either on changes in the environment or on the load of the robot. In this paper, we propose an approach
Grisetti, Giorgio +2 more
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Visual SLAM algorithms and their application for AR, mapping, localization and wayfinding
Array, 2022 Visual simultaneous localization and mapping (vSLAM) algorithms use device camera to estimate agent's position and reconstruct structures in an unknown environment.
Charalambos Theodorou +3 more
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xRatSLAM: An Extensible RatSLAM Computational Framework
Sensors, 2022 Simultaneous localization and mapping (SLAM) refers to techniques for autonomously constructing a map of an unknown environment while, at the same time, locating the robot in this map.
Mauro Enrique de Souza Muñoz +6 more
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