Results 81 to 90 of about 1,847 (173)
Semisupervised Vector Quantization in Visual SLAM Using HGCN
International Journal of Intelligent Systems, Volume 2024, Issue 1, 2024.We present a novel vector quantization (VQ) module for the two state‐of‐the‐art long‐range simultaneous localization and mapping (SLAM) algorithms. The VQ task in SLAM is generally performed using unsupervised methods. We provide an alternative approach trough embedding a semisupervised hyperbolic graph convolutional neural network (HGCN) in the VQ ...
Amir Zarringhalam +4 more
wiley +1 more source
Yuanzineng kexue jishuTo address the need for rapid acquisition of gamma radiation field information in nuclear facility sites and digital radiation protection systems, simultaneous localization and mapping (SLAM) technology was combined with gamma dose detection technology ...
LI Hui1, 2, 3, , FAN Qing1, LI Hua1, 2, 3, , LIU Liye1, 2, 3, CHEN Faguo1, 2, 3, LI Deyuan1, ZHAO Yuan1, 2, 3
doaj +1 more source
3D Semantic VSLAM of Indoor Environment Based on Mask Scoring RCNN
Discrete Dynamics in Nature and Society, 2020 In view of existing Visual SLAM (VSLAM) algorithms when constructing semantic map of indoor environment, there are problems with low accuracy and low label classification accuracy when feature points are sparse.
Chongben Tao +5 more
doaj +1 more source
Model-aided state estimation for quadrotor micro aerial vehicles [PDF]
, 2015 University of Technology Sydney. Faculty of Engineering and Information Technology.Due to their manoeuvrability, compactness and vertical take-off and landing capability, quadrotor Micro Aerial Vehicles (MAV) are ideally suited to assist or replace ...
Abeywardena, DMW
core
Visual-Inertial Mapping with Non-Linear Factor Recovery
, 2020 Cameras and inertial measurement units are complementary sensors for ego-motion estimation and environment mapping. Their combination makes visual-inertial odometry (VIO) systems more accurate and robust.
Cremers, Daniel +4 more
core +1 more source
Remote Sensing, 2022 Visual Simultaneous Localization and Mapping (VSLAM) is a prerequisite for robots to accomplish fully autonomous movement and exploration in unknown environments. At present, many impressive VSLAM systems have emerged, but most of them rely on the static
Li Yan +5 more
doaj +1 more source
, 2017 Home robots will cause privacy harms. At the same time, they can provide beneficial services—as long as consumers trust them. This Essay evaluates potential technological solutions that could help home robots keep their promises, avert their eyes, and ...
Grimm, Cindy M. +3 more
core +2 more sources
The Double Sphere Camera Model
, 2018 Vision-based motion estimation and 3D reconstruction, which have numerous applications (e.g., autonomous driving, navigation systems for airborne devices and augmented reality) are receiving significant research attention.
Cremers, Daniel +2 more
core +1 more source
Direct Monocular Odometry Using Points and Lines
, 2017 Most visual odometry algorithm for a monocular camera focuses on points, either by feature matching, or direct alignment of pixel intensity, while ignoring a common but important geometry entity: edges.
Scherer, Sebastian, Yang, Shichao
core +1 more source
PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization
, 2019 Bundle adjustment (BA) is a fundamental optimization technique used in many crucial applications, including 3D scene reconstruction, robotic localization, camera calibration, autonomous driving, space exploration, street view map generation etc ...
Liu, Qiang +3 more
core +1 more source