Results 41 to 50 of about 3,988 (156)
Energy Engineering and Control SystemsAutonomous navigation of unmanned aerial vehicles (UAVs) in unstructured industrial environments remains challenging due to irregular geometry, dynamic obstacles and sensor uncertainty.
Oleksii Kuchkin +3 more
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ON CONSTRUCTION OF A RELIABLE GROUND TRUTH FOR EVALUATION OF VISUAL SLAM ALGORITHMS
Acta Polytechnica CTU Proceedings, 2016 In this work we are concerning the problem of localization accuracy evaluation of visual-based Simultaneous Localization and Mapping (SLAM) techniques.
Jan Bayer, Petr Čížek, Jan Faigl
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MAPPING QUALITY EVALUATION OF MONOCULAR SLAM SOLUTIONS FOR MICRO AERIAL VEHICLES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Monocular simultaneous localization and mapping (SLAM) attracted much attention in the mobile-robotics domain over the past decades along with the advancements of small-format, consumer-grade digital cameras.
J. Wang, M. Shahbazi
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APM-SLAM: Visual localization for fixed routes with tightly coupled a priori map
Journal of Intelligent and Connected VehiclesLocalization along fixed routes is the fundamental function of transportation applications, including patrol vehicles, shuttles, buses, and even passenger vehicles.
Linsong Xue, Qi Luo, Kai Zhang
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Line-Based Stereo SLAM by Junction Matching and Vanishing Point Alignment
IEEE Access, 2019 In this paper, we propose a stereo simultaneous localization and mapping (SLAM) method based on line segments. For the front-end module of SLAM, we designed a novel method based on the coplanar junction detection, description, and matching.
Jiayi Ma +4 more
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Simultaneous Localization and Mapping (SLAM) using RTAB-MAP
CoRR, 2018 This paper implements Simultaneous Localization and Mapping (SLAM) technique to construct a map of a given environment. A Real Time Appearance Based Mapping (RTAB-Map) approach was taken for accomplishing this task. Initially, a 2d occupancy grid and 3d octomap was created from a provided simulated environment.
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GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping [PDF]
2019 International Conference on Robotics and Automation (ICRA), 2019 We present a Deep Learning based system for the twin tasks of localization and obstacle avoidance essential to any mobile robot. Our system learns from conventional geometric SLAM, and outputs, using a single camera, the topological pose of the camera in an environment, and the depth map of obstacles around it. We use a CNN to localize in a topological
Punarjay Chakravarty +2 more
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Mobile robot localization algorithm based on multi-sensor information fusion
Journal of Measurement Science and Instrumentation, 2020 In order to effectively reduce the uncertainty error of mobile robot localization with a single sensor and improve the accuracy and robustness of robot localization and mapping, a mobile robot localization algorithm based on multi-sensor information ...
WANG Ming-yi, HE Li-le, LI Yu, SUO Chao
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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
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Ultra Wide-Band Localization and SLAM: A Comparative Study for Mobile Robot Navigation
Sensors, 2011 In this work, a comparative study between an Ultra Wide-Band (UWB) localization system and a Simultaneous Localization and Mapping (SLAM) algorithm is presented.
Ricardo Carelli +4 more
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