Results 21 to 30 of about 1,497 (124)

Low drift visual inertial odometry with UWB aided for indoor localization

open access: yesIET Communications, 2022
Visual inertial odometry (VIO) would have an estimation drift problem in the process of long trajectory for indoor localization, especially in the absence of loop detection or in unknown complex scenes.
Bo Gao   +3 more
doaj   +1 more source

An Attention-Based Odometry Framework for Multisensory Unmanned Ground Vehicles (UGVs)

open access: yesDrones, 2023
Recently, deep learning methods and multisensory fusion have been applied to address odometry challenges in unmanned ground vehicles (UGVs). In this paper, we propose an end-to-end visual-lidar-inertial odometry framework to enhance the accuracy of pose ...
Zhiyao Xiao, Guobao Zhang
doaj   +1 more source

Adaptive Monocular Visual–Inertial SLAM for Real-Time Augmented Reality Applications in Mobile Devices

open access: yesSensors, 2017
Simultaneous localization and mapping (SLAM) is emerging as a prominent issue in computer vision and next-generation core technology for robots, autonomous navigation and augmented reality.
Jin-Chun Piao, Shin-Dug Kim
doaj   +1 more source

Visual-Inertial Odometry Using High Flying Altitude Drone Datasets

open access: yesDrones, 2023
Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global Navigation Satellite Systems (GNSS). Due to potential signal disruptions, redundant positioning systems are needed for reliable operation. The objective of this study
Anand George   +4 more
doaj   +1 more source

VILO SLAM: Tightly Coupled Binocular Vision–Inertia SLAM Combined with LiDAR

open access: yesSensors, 2023
For the existing visual–inertial SLAM algorithm, when the robot is moving at a constant speed or purely rotating and encounters scenes with insufficient visual features, problems of low accuracy and poor robustness arise.
Gang Peng   +6 more
doaj   +1 more source

Real-Time Localization and Mapping Utilizing Multi-Sensor Fusion and Visual–IMU–Wheel Odometry for Agricultural Robots in Unstructured, Dynamic and GPS-Denied Greenhouse Environments

open access: yesAgronomy, 2022
Autonomous navigation in greenhouses requires agricultural robots to localize and generate a globally consistent map of surroundings in real-time. However, accurate and robust localization and mapping are still challenging for agricultural robots due to ...
Yaxuan Yan   +4 more
doaj   +1 more source

Visual-LiDAR Odometry Aided by Reduced IMU

open access: yesISPRS International Journal of Geo-Information, 2016
This paper proposes a method for combining stereo visual odometry, Light Detection And Ranging (LiDAR) odometry and reduced Inertial Measurement Unit (IMU) including two horizontal accelerometers and one vertical gyro.
Yashar Balazadegan Sarvrood   +2 more
doaj   +1 more source

STELVIO: Exploring Factor Graphs for a Robust Stereo-Visual-LiDAR-Inertial Odometry [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Accurate and robust odometry is critical for mobile mapping and autonomous navigation, particularly in complex environments where single-sensor approaches struggle.
P. Trybała   +5 more
doaj   +1 more source

Improved Point–Line Visual–Inertial Odometry System Using Helmert Variance Component Estimation

open access: yesRemote 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

open access: yesApplied 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

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