Results 41 to 50 of about 24,073 (191)
6D SLAM with Cached kd-tree Search [PDF]
, 2007 6D SLAM (Simultaneous Localization and Mapping) or 6D Concurrent Localization and Mapping of mobile robots considers six degrees of freedom for the robot pose, namely, the x, y and z coordinates and the roll, yaw and pitch angles.
, Hertzberg, Joachim, Lingemann, Kai
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A Review of 2D Lidar SLAM Research
Remote SensingTwo-dimensional (2D) simultaneous localization and mapping (SLAM) is a key technology for intelligent indoor robots. By using a map generated via SLAM, the robot can navigate and perform specific tasks.
Yingying Ran +3 more
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Archaeology via underwater robots : mapping and localization within Maltese cistern systems [PDF]
, 2008 This paper documents the application of several underwater robot mapping and localization techniques used during an archaeological expedition. The goal of this project was to explore and map ancient cisterns located on the islands of Malta and Gozo ...
10th International Conference on Control Automation Robotics & Vision (ICARCV 2008) +4 more
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Journal of Robotics, 2021 An artificial intelligent grey wolf optimizer (GWO)-assisted resampling scheme is applied to the Rao-Blackwellized particle filter (RBPF) in the simultaneous localization and mapping (SLAM).
Yong Dai, Ming Zhao
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Generative Simultaneous Localization and Mapping (G-SLAM)
, 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 ...
Zikos, Nikos, Petridis, Vassilios
openaire +2 more sources
Comparison of the SLAM algorithms: Hangar experiments
MATEC Web of Conferences, 2016 This study purposes to compare two known algorithms in an application scenario of simultaneous localization and mapping (SLAM) and to present issues related with them as well.
Korkmaz Mehmet +2 more
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DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
, 2018 Simultaneous Localization and Mapping (SLAM) is considered to be a fundamental capability for intelligent mobile robots. Over the past decades, many impressed SLAM systems have been developed and achieved good performance under certain circumstances ...
Fei, Qiao +6 more
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An Experimental Distributed Framework for Distributed Simultaneous Localization and Mapping [PDF]
, 2016 Simultaneous Localization and Mapping (SLAM) is widely used in applications such as rescue, navigation, semantic mapping, augmented reality and home entertainment applications.
Gamage, Ruwan, Tuceryan, Mihran
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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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A Review of Common Techniques for Visual Simultaneous Localization and Mapping
Journal of Robotics, 2023 Mobile robots are widely used in medicine, agriculture, home furnishing, and industry. Simultaneous localization and mapping (SLAM) is the working basis of mobile robots, so it is extremely necessary and meaningful for making researches on SLAM ...
Yong Dai, Jiaxin Wu, Duo Wang
doaj +1 more source