Results 21 to 30 of about 55,473 (273)
STDC-SLAM: A Real-Time Semantic SLAM Detect Object by Short-Term Dense Concatenate Network
IEEE Access, 2022 Visual Simultaneous Localization and Mapping (SLAM) plays an important role in computer vision and robotic field. With the development of Convolutional Neural Network (CNN), most scholars currently fuse CNN with visual SLAM to reduce the impact of ...
Zhangfang Hu +3 more
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SDF-SLAM: Semantic Depth Filter SLAM for Dynamic Environments
IEEE Access, 2020 Simultaneous Localization and Mapping (SLAM) has been widely applied in computer vision and robotics. For the dynamic environments which are very common in the real word, traditional visual SLAM system faces significant drop in localization and mapping ...
Linyan Cui, Chaowei Ma
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Radar SLAM using visual features [PDF]
EURASIP Journal on Advances in Signal Processing, 2011 Abstract A vessel navigating in a critical environment such as an archipelago requires very accurate movement estimates. Intentional or unintentional jamming makes GPS unreliable as the only source of information and an additional independent supporting navigation system should be used.
Callmer, Jonas +4 more
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An Improved Visual SLAM Based on Map Point Reliability under Dynamic Environments
Applied Sciences, 2023 The visual simultaneous localization and mapping (SLAM) method under dynamic environments is a hot and challenging issue in the robotic field. The oriented FAST and Rotated BRIEF (ORB) SLAM algorithm is one of the most effective methods.
Jianjun Ni +3 more
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DEEP LEARNING TO SUPPORT 3D MAPPING CAPABILITIES OF A PORTABLE VSLAM-BASED SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The use of vision-based localization and mapping techniques, such as visual odometry and SLAM, has become increasingly prevalent in the field of Geomatics, particularly in mobile mapping systems. These methods provide real-time estimation of the 3D scene
N. Padkan +4 more
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A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping
Sensors, 2020 Autonomous navigation requires both a precise and robust mapping and localization solution. In this context, Simultaneous Localization and Mapping (SLAM) is a very well-suited solution.
César Debeunne, Damien Vivet
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A LiDAR/Visual SLAM Backend with Loop Closure Detection and Graph Optimization
Remote Sensing, 2021 LiDAR (light detection and ranging), as an active sensor, is investigated in the simultaneous localization and mapping (SLAM) system. Typically, a LiDAR SLAM system consists of front-end odometry and back-end optimization modules.
Shoubin Chen +4 more
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Visual EKF-SLAM from Heterogeneous Landmarks [PDF]
Sensors, 2016 Many applications require the localization of a moving object, e.g., a robot, using sensory data acquired from embedded devices. Simultaneous localization and mapping from vision performs both the spatial and temporal fusion of these data on a map when a camera moves in an unknown environment. Such a SLAM process executes two interleaved functions: the
Esparza-Jiménez, Jorge +2 more
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Real-Time Dynamic SLAM Algorithm Based on Deep Learning
IEEE Access, 2022 In the traditional visual simultaneous localization and mapping (SLAM), the strong static assumption leads to a large degradation in the accuracy of visual SLAM in dynamic environments.
Peng Su, Suyun Luo, Xiaoci Huang
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An Efficient Index for Visual Search in Appearance-based SLAM [PDF]
, 2013 Vector-quantization can be a computationally expensive step in visual bag-of-words (BoW) search when the vocabulary is large. A BoW-based appearance SLAM needs to tackle this problem for an efficient real-time operation. We propose an effective method to
Hajebi, Kiana, Zhang, Hong
core +1 more source