Results 31 to 40 of about 34,843 (165)
Robust Stereo Visual-Inertial Odometry Using Nonlinear Optimization
Sensors, 2019 The fusion of visual and inertial odometry has matured greatly due to the complementarity of the two sensors. However, the use of high-quality sensors and powerful processors in some applications is difficult due to size and cost limitations, and there ...
Shujun Ma +3 more
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International Journal of Advanced Robotic Systems, 2023 Estimating the camera trajectories is very important for the performance of visual simultaneous localization and mapping. However, visual simultaneous localization and mapping systems based on RGB image are generally not robust in complex situations such
Yunpeng Sun, Xiaoli Li
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Vehicle Localization Using Crowdsourced Data Collected on Urban Roads
SensorsVehicle localization using mounted sensors is an essential technology for various applications, including autonomous vehicles and road mapping. Achieving high positioning accuracy through the fusion of low-cost sensors is a topic of considerable interest.
Soohyun Cho, Woojin Chung
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Cartographer SLAM Method for Optimization with an Adaptive Multi-Distance Scan Scheduler
Applied Sciences, 2020 This paper presents the use of Google’s simultaneous localization and mapping (SLAM) technique, namely Cartographer, and adaptive multistage distance scheduler (AMDS) to improve the processing speed.
Abdurahman Dwijotomo +4 more
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Multilayer Mapping Kit for Autonomous UAV Navigation
IEEE Access, 2021 Mapping, as the back-end of perception and the front-end of path planning in the modern UAV navigation system, draws our interest. Considering the requirements of UAV navigation and the features of the current embedded computation platforms, we designed ...
Shengyang Chen +3 more
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IEEE AccessAutonomous driving and robotics require precise perception of the surrounding environment. Therefore, the simultaneous-localization-and-mapping algorithm, which is used for accurate pose estimation and environmental perception, is of great importance ...
Shihong Huang +5 more
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Accurate Monocular Visual-Inertial SLAM Using a Map-Assisted EKF Approach
IEEE Access, 2019 This paper presents a novel tightly coupled monocular visual-inertial simultaneous localization and mapping (SLAM) algorithm, which provides accurate and robust motion tracking at high frame rates on a standard CPU.
Meixiang Quan +3 more
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EXTENDED KALMAN FILTER BASED AIRBORNE SIMULTANEOUS LOCALIZATION AND MAPPING
Havacılık ve Uzay Teknolojileri Dergisi, 2013 UAVs are expected to perform all or part of its mission as autonomous in accordance with predefined at the manufacture objectives and prerequest of safe autonomous navigation is to detect the UAV location precisely.
Abdullah Ersan Oğuz, Hakan Temeltaş
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VA-LOAM: Visual Assist LiDAR Odometry and Mapping for Accurate Autonomous Navigation
SensorsIn this study, we enhanced odometry performance by integrating vision sensors with LiDAR sensors, which exhibit contrasting characteristics. Vision sensors provide extensive environmental information but are limited in precise distance measurement ...
Tae-Ki Jung, Gyu-In Jee
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Advances in Mechanical Engineering, 2018 Perception-driven hierarchical simultaneous localization and mapping approach is proposed based on a distributed particle of percolator model adapted to search and rescue post-disaster environment.
Hongling Wang +3 more
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