Results 31 to 40 of about 13,782 (194)
MGC-VSLAM: A Meshing-Based and Geometric Constraint VSLAM for Dynamic Indoor Environments
IEEE Access, 2020 Visual Simultaneous Localization and Mapping (VSLAM) system is considered to be a fundamental capability for autonomous mobile robots. However, most of the existing VSLAM algorithms adopt a strong scene rigidity assumption for analysis convenience, which
Shiqiang Yang +4 more
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A Dense Visual SLAM Method in Dynamic Scenes
IEEE Access, 2023 The visual SLAM algorithm has been developed to be more mature. It can achieve good performance in most static scenes, but when it is applied to dynamic scenes, it will be interfered with by a large number of dynamic points in the scene, which affects ...
Xia Liu +3 more
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DM-SLAM: Monocular SLAM in Dynamic Environments
Applied Sciences, 2020 Many classic visual monocular SLAM (simultaneous localization and mapping) systems have been developed over the past decades, yet most of them fail when dynamic scenarios dominate. DM-SLAM is proposed for handling dynamic objects in environments based on
Xiaoyun Lu +4 more
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Improving SLAM-Based Navigation in Flexible Ureteroscopy by Kidney Stone and Surgical Tool Segmentation. [PDF]
Healthc Technol LettNavigation in flexible ureteroscopy is challenging due to its dynamic environment. We propose to segment the possible dynamic objects (kidney stones and surgical tools) and use the segmentation mask in the SLAM system to improve its accuracy. ABSTRACT Flexible ureteroscopy is a widely used surgical procedure for diagnosing and treating various urinary ...
Oliva-Maza L +5 more
europepmc +2 more sources
An example mapping method based on visual SLAM
Xi'an Gongcheng Daxue xuebao, 2021 In the process of simultaneous localization and mapping (SLAM) with vision sensors, the robot does not use the instance information, which leads to insufficient environmental perception and low accuracy of map construction.
Xiaohua WANG +3 more
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Visual SLAM Mapping Based on YOLOv5 in Dynamic Scenes
Applied Sciences, 2022 When building a map of a dynamic environment, simultaneous localization and mapping systems have problems such as poor robustness and inaccurate pose estimation.
Xinguang Zhang +2 more
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Vision‐audio fusion SLAM in dynamic environments
CAAI Transactions on Intelligence Technology, Volume 8, Issue 4, Page 1364-1373, December 2023., 2023 Abstract Moving humans, agents, and subjects bring many challenges to robot self‐localisation and environment perception. To adapt to dynamic environments, SLAM researchers typically apply several deep learning image segmentation models to eliminate these moving obstacles.
Tianwei Zhang, Huayan Zhang, Xiaofei Li
wiley +1 more source
A BigBiGAN-Based Loop Closure Detection Algorithm for Indoor Visual SLAM
Journal of Electrical and Computer Engineering, 2021 Loop closure detection serves as the fulcrum of improving the accuracy and precision in simultaneous localization and mapping (SLAM). The majority of loop detection methods extract artificial features, which fall short of learning comprehensive data ...
Qiubo Zhong, Xiaoyi Fang
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A Feature Points Extraction Algorithm Based on Adaptive Information Entropy
IEEE Access, 2020 Feature points loss and images mismatch in the variation of light intensity, weak texture and large angle rotation for the feature points extraction of ORB-SLAM2 are severe.
Dan Yin +6 more
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RGB-D SLAM Algorithm Based on Point-Surface Feature Fusion [PDF]
Jisuanji gongcheng, 2023 Traditional visual SLAM algorithms rely mainly on point features to construct visual odometry. There are usually scenes with insufficient point features but rich structural features in artificial environments.Currently，visual odometry methods based on ...
SUN Chao, ZHU Yongjie, YU Linbo, MIAO Longxin, CAO Mian, YE Li, GUO Naiyu
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