Results 31 to 40 of about 1,555 (163)

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

ADVIO: An Authentic Dataset for Visual-Inertial Odometry [PDF]

open access: yes, 2018
The lack of realistic and open benchmarking datasets for pedestrian visual-inertial odometry has made it hard to pinpoint differences in published methods. Existing datasets either lack a full six degree-of-freedom ground-truth or are limited to small spaces with optical tracking systems.
Santiago Cortés Reina   +3 more
openaire   +2 more sources

Continuous-Time Spline Visual-Inertial Odometry

open access: yes2022 International Conference on Robotics and Automation (ICRA), 2022
We propose a continuous-time spline-based formulation for visual-inertial odometry (VIO). Specifically, we model the poses as a cubic spline, whose temporal derivatives are used to synthesize linear acceleration and angular velocity, which are compared to the measurements from the inertial measurement unit (IMU) for optimal state estimation. The spline
Jiawei Mo, Junaed Sattar
openaire   +2 more sources

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

Visual-Inertial Odometry of Aerial Robots

open access: yesCoRR, 2019
Accepted in the Encyclopedia of Robotics ...
Davide Scaramuzza 0001, Zichao Zhang
openaire   +2 more sources

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