Results 41 to 50 of about 1,555 (163)
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
doaj +1 more source
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
doaj +1 more source
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
openaire +1 more source
xVIO: A Range-Visual-Inertial Odometry Framework
CoRR, 2020 xVIO is a range-visual-inertial odometry algorithm implemented at JPL. It has been demonstrated with closed-loop controls on-board unmanned rotorcraft equipped with off-the-shelf embedded computers and sensors. It can operate at daytime with visible-spectrum cameras, or at night time using thermal infrared cameras.
Jeff Delaune +2 more
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Stereo Event-based Visual-Inertial Odometry
CoRR, 2023 Event-based cameras are new type vision sensors whose pixels work independently and respond asynchronously to brightness change with microsecond resolution, instead of providing standard intensity frames. Compared with traditional cameras, event-based cameras have low latency, no motion blur, and high dynamic range (HDR), which provide possibilities ...
Wang, Kunfeng, Zhao, Kaichun, You, Zheng
openaire +2 more sources
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
doaj +1 more source
DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination [PDF]
IEEE Robotics and Automation Letters, 2020 Accepted to IEEE Robotics and Automation Letters (RAL)
Muhamad Risqi Utama Saputra +9 more
openaire +3 more sources
Comparison of Three Off-the-Shelf Visual Odometry Systems
Robotics, 2020 Positioning is an essential aspect of robot navigation, and visual odometry an important technique for continuous updating the internal information about robot position, especially indoors without GPS (Global Positioning System). Visual odometry is using
Alexandre Alapetite +4 more
doaj +1 more source