Results 31 to 40 of about 162,676 (316)
PLSAV: Parallel loop searching and verifying for loop closure detection
IET Intelligent Transport Systems, 2021 Visual simultaneous localization and mapping (vSLAM), one of the most important applications in autonomous vehicles and robots to estimate the position and pose using inexpensive visual sensors, suffers from error accumulation for long‐term navigation ...
Zhe Yang +4 more
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Sensors, 2023 Simultaneous localization and mapping (SLAM) plays a crucial role in the field of intelligent mobile robots. However, the traditional Visual SLAM (VSLAM) framework is based on strong assumptions about static environments, which are not applicable to ...
Yang Wang +5 more
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SVG-Loop: Semantic–Visual–Geometric Information-Based Loop Closure Detection
Remote Sensing, 2021 Loop closure detection is an important component of visual simultaneous localization and mapping (SLAM). However, most existing loop closure detection methods are vulnerable to complex environments and use limited information from images. As higher-level
Zhian Yuan +4 more
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Applied Sciences, 2023 This paper proposes a novel approach for appearance-based loop closure detection using incremental Bag of Words (BoW) with gradient orientation histograms.
Yuni Li, Wu Wei, Honglei Zhu
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International Journal of Applied Earth Observations and Geoinformation, 2021 In simultaneous localization and mapping (SLAM), loop closure detection is a significant yet still open problem. It contributes to construct a globally consistent and accurate map.
Haodong Xiang +5 more
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Detecting Loop Closure with Scene Sequences
International Journal of Computer Vision, 2007 This paper is concerned with "loop closing" for mobile robots. Loop closing is the problem of correctly asserting that a robot has returned to a previously visited area. It is a particularly hard but important component of the Simultaneous Localization and Mapping (SLAM) problem.
Ho, K, Newman, P
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Learning to detect loop closure from range data
2009 IEEE International Conference on Robotics and Automation, 2009 Despite significant developments in the Simultaneous Localisation and Mapping (SLAM) problem, loop closure detection is still challenging in large scale unstructured environments. Current solutions rely on heuristics that lack generalisation properties, in particular when range sensors are the only source of information about the robot's surrounding ...
Granström, Karl +3 more
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International Journal of Advanced Robotic Systems, 2021 Humans maintain good memory and recognition capability of previous environments when they are learning about new ones. Thus humans are able to continually learn and increase their experience. It is also obvious importance for autonomous mobile robot. The
Shilang Chen +4 more
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Loop Closure Detection Based on Multi-Scale Deep Feature Fusion
Applied Sciences, 2019 Loop closure detection plays a very important role in the mobile robot navigation field. It is useful in achieving accurate navigation in complex environments and reducing the cumulative error of the robot’s pose estimation.
Baifan Chen +3 more
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Word ordering and document adjacency for large loop closure detection in 2D laser maps [PDF]
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Andrade-Cetto, Juan +2 more
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