Results 1 to 10 of about 724,405 (313)
RESEARCH ON SEMANTIC-ASSISTED SLAM IN COMPLEX DYNAMIC INDOOR ENVIRONMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Visual Simultaneous Localization and Mapping (SLAM) systems have been widely investigated in response to requirements, since the traditional positioning technology, such as Global Navigation Satellite System (GNSS), cannot accomplish tasks in restricted ...
C. Li, Z. Kang, J. Yang, F. Li, Y. Wang
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Path Planning of a Mobile Robot for a Dynamic Indoor Environment Based on an SAC-LSTM Algorithm. [PDF]
Sensors (Basel), 2023 This paper proposes an improved Soft Actor–Critic Long Short-Term Memory (SAC-LSTM) algorithm for fast path planning of mobile robots in dynamic environments. To achieve continuous motion and better decision making by incorporating historical and current
Zhang Y, Chen P.
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RGB-D Visual SLAM Based on Yolov4-Tiny in Indoor Dynamic Environment
Micromachines, 2022 For a SLAM system operating in a dynamic indoor environment, its position estimation accuracy and visual odometer stability could be reduced because the system can be easily affected by moving obstacles.
Zhanyuan Chang +3 more
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Remote Sensing, 2023 Traditional simultaneous localization and mapping (SLAM) system tends to operate in small-area static environments, and its performance might degrade when moving objects appear in a highly dynamic environment. To address this issue, this paper proposes a
Zhi Zeng +6 more
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A Semantic Information-Based Optimized vSLAM in Indoor Dynamic Environments
Applied Sciences, 2023 In unknown environments, mobile robots can use visual-based Simultaneous Localization and Mapping (vSLAM) to complete positioning tasks while building sparse feature maps and dense maps.
Shuangfeng Wei +5 more
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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 New RGB-D SLAM Method with Moving Object Detection for Dynamic Indoor Scenes
Remote Sensing, 2019 Simultaneous localization and mapping (SLAM) methods based on an RGB-D camera have been studied and used in robot navigation and perception. So far, most such SLAM methods have been applied to a static environment. However, these methods are incapable of
Runzhi Wang +3 more
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Dynamic SLAM Dense Point Cloud Map by Fusion of Semantic Information and Bayesian Moving Probability [PDF]
SensorsMost existing Simultaneous Localization and Mapping (SLAM) systems rely on the assumption of static environments to achieve reliable and efficient mapping.
Qing An +6 more
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IEEE Access, 2018 Traditional Reinforcement Learning (RL) approaches are designed to work well in static environments. In many real-world scenarios, the environments are complex and dynamic, in which the performance of traditional RL approaches may drastically degrade ...
Zakir Ullah +4 more
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Dynamic Robot Navigation in Confined Indoor Environment: Unleashing the Perceptron-Q Learning Fusion [PDF]
SensorsRobot navigation in confined spaces has gained popularity in recent years, but offline planning assumes static obstacles, which limits its application to online path-planning.
M. Denesh Babu +2 more
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