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Dense Mapping Method for Indoor Dynamic Scenes Using an Improved ORB-SLAM2 Algorithm Based on RGB-D
2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA)Leveraging instance segmentation techniques within Simultaneous Localization and Mapping (SLAM) frameworks effectively tackles the challenges associated with dynamic environments.
Xukang Kan, Gefei Shi, Xuerong Yang
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A New System to Construct Dense Map with Pyramid Stereo Matching Network and ORB-SLAM2
2021 7th International Conference on Computer and Communications (ICCC), 2021Building large-scale dense maps with stereo cameras directly is considered to be ineffective. Since neural network has a good effect on restoring image depth, a mapping system combining neural network with SLAM is proposed in this paper.
Junchao Zhu +3 more
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Hybrid ORB-SLAM2 Framework for Real-Time Autonomous Navigation in Urban Drone Delivery Systems
2025 IEEE 6th Global Conference for Advancement in Technology (GCAT)With more and more people living in cities around the world, urban drone delivery has changed the game for last-mile logistics. While companies like Google, Amazon, and UPS do have remarkable drone systems, they are primarily used in less populated or ...
R. Praveen
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Real-Time 6-DOF Monocular Visual SLAM based on ORB-SLAM2
2019 Chinese Control And Decision Conference (CCDC), 2019Here, real-time 6-DOF monocular visual SLAM, which can be mapping with texture, is presented. The proposed method aims to compute 6-DOF camera pose and 3D landmarks position using monocular camera as the only sensor, and utilize texture to render the map of visualization quickly.
Wei Huang, Yinguo Li, Fangchao Hu
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International Conference on Industrial Informatics
To address the limitations in feature matching accuracy and system robustness in complex environments of Oriented FAST and Rotated BRIEF SLAM2(ORB SLAM2) algorithm, this paper introduces a lightweight neural network MLP and Transformer algorithm combined
Ming Li +5 more
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To address the limitations in feature matching accuracy and system robustness in complex environments of Oriented FAST and Rotated BRIEF SLAM2(ORB SLAM2) algorithm, this paper introduces a lightweight neural network MLP and Transformer algorithm combined
Ming Li +5 more
semanticscholar +1 more source
2024 IEEE 2nd International Conference on Electrical, Automation and Computer Engineering (ICEACE)
The use of drones to clean foreign objects on high-voltage transmission lines is currently the main development direction for high-voltage line maintenance. In order to achieve the recognition and localization of foreign objects, in the recognition part,
Kai Guo +3 more
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The use of drones to clean foreign objects on high-voltage transmission lines is currently the main development direction for high-voltage line maintenance. In order to achieve the recognition and localization of foreign objects, in the recognition part,
Kai Guo +3 more
semanticscholar +1 more source
Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems
: Wheelchairs are crucial to the mobility of people with disabilities. Conventional manual wheelchairs have come a long way to the powered and smart designs that allow for different types of controls.
Shreyas Anchan +5 more
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: Wheelchairs are crucial to the mobility of people with disabilities. Conventional manual wheelchairs have come a long way to the powered and smart designs that allow for different types of controls.
Shreyas Anchan +5 more
semanticscholar +1 more source
Towards Precise Visual Navigation and Direct Georeferencing for MAV Using ORB-SLAM2
2017 Baltic Geodetic Congress (BGC Geomatics), 2017A low accuracy of positioning using Global Navigation Satellite System (GNSS) are not meet geodetic requirements for direct images georeferencing for Unmanned Aerial Vehicle (UAV) photogrammetry. A majority of UAVs are equipped with a monocular or stereo non-metric cameras for either visual data gathering or live video feed for operator.
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Hyperparameter Optimization for SLAM: An Approach For Enhancing ORB-SLAM2's Performance
2022Simultaneous Location and Mapping (SLAM) has been a well-pursued research area for computer vision and robotics. Robustness and performance are fields that address the efficiency of SLAM solutions. Hyperparameter Optimization (HPO) promises to find a hyperparameter set that displays the lowest error within a validation set. This thesis aims to devise a
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Localization of Autonomous Vehicles in Various Environment Conditions using ORB-SLAM2
2021 International Conference on Instrumentation, Control, and Automation (ICA), 2021Farah Elma Annisa +4 more
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