Results 31 to 40 of about 2,170,338 (154)

Multisensor Data Fusion for Robust Pose Estimation of a Six-Legged Walking Robot [PDF]

, 2011
For autonomous navigation tasks it is important that the robot always has a good estimate of its current pose with respect to its starting position and - in terms of orientation - with respect to the gravity vector.
Chilian, Annett, Hirschmüller, Heiko, A. Chilian, H. Hirschmuller, Görner, Martin, M. Gorner   +5 more
core   +1 more source

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

The 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, L. Morelli, S. Facenda, A. V. Razzino, A. V. Razzino, F. Remondino   +5 more
doaj   +1 more source

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, Yu Chen, Shoujian Zhang, Jingrong Wang   +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

Visual 3-D SLAM from UAVs [PDF]

, 2009
The aim of the paper is to present, test and discuss the implementation of Visual SLAM techniques to images taken from Unmanned Aerial Vehicles (UAVs) outdoors, in partially structured environments.
Campoy Cervera, Pascual, Martínez Luna, Carol Viviana, Mondragon, Ivan F., Olivares Méndez, Miguel Ángel, Sebastian y Zuñiga, Jose Maria, Artieda, Jorge, Artieda Trigueros, Jorge, Correa Caicedo, Juan Fernando, Sebastian, Jose M., Correa, Juan F., Mondragon Bernal, Ivan Fernando, Correoa, Juan F., Martinez, Carol, Olivares Méndez, Miguel A., Campoy, Pascual   +14 more
core   +1 more source

Objective speckle velocimetry for autonomous vehicle odometry [PDF]

, 2012
Speckle velocimetry is investigated as a means of determining odometry data with potential for application on autonomous robotic vehicles. The technique described here relies on the integration of translation measurements made by normalized cross ...
Charrett, Thomas O. H., Tatam, Ralph P., Waugh, L., Francis, Daniel   +3 more
core   +1 more source

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, Hugo Silva, Anibal Matos, Eduardo Silva   +3 more
doaj   +1 more source

RNGC-VIWO: Robust Neural Gyroscope Calibration Aided Visual-Inertial-Wheel Odometry for Autonomous Vehicle

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, Chen Deng, Hongjuan Zhang, Hongqiong Tang, Jiao Wu, Bijun Li   +5 more
doaj   +1 more source

Monocular Visual-Inertial Odometry for Agricultural Environments

IEEE Access, 2022
The accuracy of autonomous robot localization using a monocular visual-inertial odometry system (VIO) is significantly reduced in an agricultural environment compared to an urban and indoor environment due to the unstructured scenes with unstable ...
Kaiyu Song, Jingtao Li, Run Qiu, Gaidi Yang   +3 more
doaj   +1 more source

Improved Multi-Sensor Fusion Dynamic Odometry Based on Neural Networks

Sensors
High-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