Results 41 to 50 of about 2,723 (200)
Visual Inertial Odometry with Sparse Deep Learning [PDF]
, 2022 In the field of indoor navigation, visual and inertial sensors are essential to localizing a robot. Visual Inertial Odometry (VIO) systems try to figure out the position and orientation of a robot by analyzing data from cameras and inertial sensors.
Saat, Berke
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Visual-Inertial Odometry of Aerial Robots
CoRR, 2019 Accepted in the Encyclopedia of Robotics ...
Davide Scaramuzza 0001, Zichao Zhang
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Radar Visual Inertial Odometry and Radar Thermal Inertial Odometry: Robust Motion Estimation even in Challenging Visual Conditions [PDF]
, 2021 In this paper, we propose to fuse radar measurements with Visual Inertial Odometry (RVIO) or Thermal Inertial Odometry (RTIO). FMCW radar sensors enable to estimate the 3D ego velocity independent of the visual conditions.
Trommer, Gert F., Doer, Christopher
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Improved Point–Line Visual–Inertial Odometry System Using Helmert Variance Component Estimation
Remote Sensing, 2020 Mobile platform visual image sequence inevitably has large areas with various types of weak textures, which affect the acquisition of accurate pose in the subsequent platform moving process. The visual–inertial odometry (VIO) with point features and line
Bo Xu +3 more
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Unsupervised Monocular Visual-inertial Odometry Network [PDF]
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020 Recently, unsupervised methods for monocular visual odometry (VO), with no need for quantities of expensive labeled ground truth, have attracted much attention. However, these methods are inadequate for long-term odometry task, due to the inherent limitation of only using monocular visual data and the inability to handle the error accumulation problem.
Peng Wei +4 more
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Semi-Direct Point-Line Visual Inertial Odometry for MAVs
Applied Sciences, 2022 Traditional Micro-Aerial Vehicles (MAVs) are usually equipped with a low-cost Inertial Measurement Unit (IMU) and monocular cameras, how to achieve high precision and high reliability navigation under the framework of low computational complexity is the ...
Bo Gao, Baowang Lian, Chengkai Tang
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Loosely coupled LiDAR-Visual/Thermal-Inertial Odometry and Mapping [PDF]
, 2021 This thesis presents a loosely coupled LiDAR-Visual/Thermal-Inertial odometry and mapping method that uses factor graphs. Our approach jointly optimizes relative pose constraints provided by a LiDAR scan-to-scan alignment method and a Visual/Thermal ...
Khedekar, Nikhil Vijay
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Deep Learning for Underwater Visual Odometry Estimation
IEEE Access, 2020 This paper addresses Visual Odometry (VO) estimation in challenging underwater scenarios. Robot visual-based navigation faces several additional difficulties in the underwater context, which severely hinder both its robustness and the possibility for ...
Bernardo Teixeira +3 more
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Remote Sensing, 2023 Accurate and robust localization using multi-modal sensors is crucial for autonomous driving applications. Although wheel encoder measurements can provide additional velocity information for visual-inertial odometry (VIO), the existing visual-inertial ...
Meixia Zhi +5 more
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Improved Multi-Sensor Fusion Dynamic Odometry Based on Neural Networks
SensorsHigh-precision simultaneous localization and mapping (SLAM) in dynamic real-world environments plays a crucial role in autonomous robot navigation, self-driving cars, and drone control. To address this dynamic localization issue, in this paper, a dynamic
Lishu Luo, Fulun Peng, Longhui Dong
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