Results 101 to 110 of about 2,723 (200)

A Multi-Sensor Fusion MAV State Estimation from Long-Range Stereo, IMU, GPS and Barometric Sensors

Sensors, 2016
State estimation is the most critical capability for MAV (Micro-Aerial Vehicle) localization, autonomous obstacle avoidance, robust flight control and 3D environmental mapping.
Yu Song, Stephen Nuske, Sebastian Scherer   +2 more
doaj   +1 more source

Visual-inertial odometry and visual velocity estimation for underwater riser inspection. [PDF]

reservedSviluppata in collaborazione con Saipem, questa tesi esamina la stima della velocità basata su metodi di visione per veicoli subacquei della piattaforma Hydrone, progettati per l’ispezione di riser e condotte sottomarine.
TREVISI, DAVIDE
core  

Towards Semi-Dense Indirect Visual-Inertial Odometry [PDF]

, 2018
In this work, we focus on motion estimation in unknown environments using measurements provided by an inertial measurement unit (IMU) and a monocular camera. We are interested in estimating the trajectory of a moving platform, a problem typically termed
Yu, Hongsheng
core  

EMA-VIO: Deep Visual-Inertial Odometry with External Memory Attention [PDF]

, 2022
Accurate and robust localization is a fundamental need for mobile agents. Visual-inertial odometry (VIO) algorithms exploit the information from camera and inertial sensors to estimate position and translation.
Pan, Xianfei, Tu, Zheming, Mao, Jun, Chen, Changhao, Liu, Ruochen, Cui, Jiarui   +5 more
core   +1 more source

A Novel Cross-Attention-Based Pedestrian Visual–Inertial Odometry With Analyses Demonstrating Challenges in Dense Optical Flow

IEEE Journal of Indoor and Seamless Positioning and Navigation
Visual–inertial odometry (VIO), the fusion of visual and inertial sensor data, has been shown to be functional for navigation in global-navigation-satellite-system-denied environments.
Ilari Pajula, Niclas Joswig, Aiden Morrison, Nadia Sokolova, Laura Ruotsalainen   +4 more
doaj   +1 more source

A review of Visual Inertial Odometry for object tracking and measurement [PDF]

, 2020
This paper aims to explore the use of Visual Inertial Odometry (VIO) for tracking and measurement. The evolution of VIO is first discussed, followed by the overview of monocular Visual Odometry (VO) and the Inertial Measurement Unit (IMU).
Salam, Md. Sah, Mohamed, Su Elya Namira, Tan, Chun Wen, Mohd. Nawi, Abdullah, Ismail, Nor Azman   +4 more
core  

Design and implementation of a visual-inertial odometry system with visual-inertial sensors on a SoC computational architecture [PDF]

, 2018
Diseño e implementación de un algoritmo de odometría visual parcial para el mapeo y localización de un dron en el espacio.Design and implementation of an algorithm of visual inertial odometry for mapping and location of a drone in space.Magíster en ...
Rodríguez Roldán, Juan Manuel
core   +1 more source

Nonlinear Observer Design for Visual-Inertial Odometry

CoRR
This paper addresses the problem of Visual-Inertial Odometry (VIO) for rigid body systems evolving in three-dimensional space. We introduce a novel matrix Lie group structure, denoted SE_{3+n}(3), that unifies the pose, gravity, linear velocity, and landmark positions within a consistent geometric framework tailored to the VIO problem.
Mouaad Boughellaba, Abdelhamid Tayebi 0001, James Richard Forbes, Soulaimane Berkane   +3 more
openaire   +2 more sources

Visual-inertial odometry for UAV stabilization [PDF]

This master's thesis deals with the development of a system for estimating the position of an unmanned aerial vehicle in space without using GNSS (Global navigation satellite system).
Pintér, Marco
core   +2 more sources

A Distributed and Reconfigurable Architecture for Unified Multimodal Indoor Localization of a Mobile Edge Node in a Cyber-Physical Context

Robotics
Precise 3D positioning in GPS-denied environments is a critical enabler of autonomous robotics, industrial automation, and smart logistics within the emerging cyber-physical landscape.
Theodoros Papafotiou, Emmanouil Tsardoulias, Andreas Symeonidis   +2 more
doaj   +1 more source