Results 131 to 140 of about 6,675 (223)

Development and testing of an event-based visual-inertial odometry algorithm

open access: yes
embargoed_20270107This thesis presents the development and evaluation of an event-based visual-inertial odometry algorithm. The system processes data from an event camera and an inertial measurement unit (IMU), combining them through sensor fusion.
GRIGUOL, FRANCESCO
core  

Adaptive Learning for Hybrid Visual Odometry

open access: yes
International audienceHybrid visual odometry methods achieve state-of-the-art performance by fusing both data-based deep learning networks and model-based localization approaches. However, these methods also suffer from deep learning domain gap problems,
Liu, Ziming   +2 more
core   +1 more source

Visual Odometry and 3D Point Clouds under Low-light Conditions

open access: yes, 2018
The paper discusses an evaluation of visual odometry accuracy with respect to available lighting. Very extensive test data (along one country-side road in New Zealand) have been recorded at day and at night.
Anko Borner   +11 more
core   +1 more source

Stereo Direct Sparse Visual–Inertial Odometry with Efficient Second-Order Minimization

open access: yesSensors
Visual–inertial odometry (VIO) is the primary supporting technology for autonomous systems, but it faces three major challenges: initialization sensitivity, dynamic illumination, and multi-sensor fusion.
Chenhui Fu, Jiangang Lu
doaj   +1 more source

Indoor Localization of Hand-Held OCT Probe Using Visual Odometry and Real-Time Segmentation Using Deep Learning. [PDF]

open access: yesIEEE Trans Biomed Eng, 2022
Qin X   +6 more
europepmc   +1 more source

Leveraging Deep Learning for Visual Odometry Using Optical Flow. [PDF]

open access: yesSensors (Basel), 2021
Pandey T, Pena D, Byrne J, Moloney D.
europepmc   +1 more source

Localization based on visual odometry

open access: yes, 2015
O problema da localização consiste em estimar a posição de um robô com relação a algum referencial externo e é parte essencial de sistemas de navegação de robôs e veículos autônomos.
Nishitani, André Toshio Nogueira
core   +1 more source

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