DOE-SLAM: Dynamic Object Enhanced Visual SLAM [PDF]
Sensors, 2021 In this paper, we formulate a novel strategy to adapt monocular-vision-based simultaneous localization and mapping (vSLAM) to dynamic environments. When enough background features can be captured, our system not only tracks the camera trajectory based on
Xiao Hu, Jochen Lang
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Visual-SLAM Classical Framework and Key Techniques: A Review [PDF]
Sensors, 2022 With the significant increase in demand for artificial intelligence, environmental map reconstruction has become a research hotspot for obstacle avoidance navigation, unmanned operations, and virtual reality.
Guanwei Jia +6 more
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OTE-SLAM: An Object Tracking Enhanced Visual SLAM System for Dynamic Environments [PDF]
Sensors, 2023 With the rapid development of autonomous driving and robotics applications in recent years, visual Simultaneous Localization and Mapping (SLAM) has become a hot research topic.
Yimeng Chang, Jun Hu, Shiyou Xu
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A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-Based Semantic Scene Understanding Using Multi-Modal Sensor Fusion [PDF]
Sensors, 2022 Simultaneous Localisation and Mapping (SLAM) is one of the fundamental problems in autonomous mobile robots where a robot needs to reconstruct a previously unseen environment while simultaneously localising itself with respect to the map.
Tin Lai
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Panoramic Visual SLAM Technology for Spherical Images [PDF]
Sensors, 2021 Simultaneous Localization and Mapping (SLAM) technology is one of the best methods for fast 3D reconstruction and mapping. However, the accuracy of SLAM is not always high enough, which is currently the subject of much research interest. Panoramic vision
Yi Zhang, Fei Huang
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Robust visual SLAM algorithm based on target detection and clustering in dynamic scenarios [PDF]
Frontiers in NeuroroboticsWe propose a visual Simultaneous Localization and Mapping (SLAM) algorithm that integrates target detection and clustering techniques in dynamic scenarios to address the vulnerability of traditional SLAM algorithms to moving targets.
Fubao Gan +5 more
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MINI-DROID-SLAM: Improving Monocular Visual SLAM Using MINI-GRU RNN Network [PDF]
SensorsRecently, visual odometry and SLAM (Simultaneous Localization and Mapping) have shown tremendous performance improvements compared to LiDAR and 3D sensor techniques.
Ismaiel Albukhari +2 more
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ISFM-SLAM: dynamic visual SLAM with instance segmentation and feature matching [PDF]
Frontiers in NeuroroboticsIntroductionSimultaneous Localization and Mapping (SLAM) is a technology used in intelligent systems such as robots and autonomous vehicles. Visual SLAM has become a more popular type of SLAM due to its acceptable cost and good scalability when applied ...
Chao Li +4 more
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SEG-SLAM: Dynamic Indoor RGB-D Visual SLAM Integrating Geometric and YOLOv5-Based Semantic Information [PDF]
SensorsSimultaneous localisation and mapping (SLAM) is crucial in mobile robotics. Most visual SLAM systems assume that the environment is static. However, in real life, there are many dynamic objects, which affect the accuracy and robustness of these systems ...
Peichao Cong +4 more
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AHY-SLAM: Toward Faster and More Accurate Visual SLAM in Dynamic Scenes Using Homogenized Feature Extraction and Object Detection Method [PDF]
Sensors, 2023 At present, SLAM is widely used in all kinds of dynamic scenes. It is difficult to distinguish dynamic targets in scenes using traditional visual SLAM. In the matching process, dynamic points are incorrectly added to the pose calculation with the camera,
Han Gong +4 more
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