Results 21 to 30 of about 535,764 (342)
Underground personnel positioning system based on fingerprint and dead-reckoning
Gong-kuang zidonghua, 2016 In view of problem that RSSI-based fingerprint positioning method is greatly influenced by environment of coal mine tunnel, and localization method based on dead-reckoning is easy to form accumulation of errors, underground personnel positioning system ...
MA Jing +3 more
doaj +1 more source
A Review of Depth and Normal Fusion Algorithms [PDF]
Sensors, 2018 Geometric surface information such as depth maps and surface normals can be acquired by various methods such as stereo light fields, shape from shading and photometric stereo techniques. We compare several algorithms which deal with the combination of depth with surface normal information in order to reconstruct a refined depth map.
Doris Antensteiner +2 more
openaire +3 more sources
Research on the Path Planning of Unmanned Sweepers Based on a Fusion Algorithm
Applied Sciences, 2023 Path planning is one of the key technologies for unmanned driving. However, global paths are unable to avoid unknown obstacles, while local paths tend to fall into local optimality.
Yongjie Ma, Peng Ping, Quan Shi
doaj +1 more source
An Adaptive Fusion Algorithm for Depth Completion. [PDF]
Sensors (Basel), 2022 Dense depth perception is critical for many applications. However, LiDAR sensors can only provide sparse depth measurements. Therefore, completing the sparse LiDAR data becomes an important task. Due to the rich textural information of RGB images, researchers commonly use synchronized RGB images to guide this depth completion.
Chen L, Li Q.
europepmc +4 more sources
A Fusion Multiobjective Empire Split Algorithm [PDF]
Journal of Control Science and Engineering, 2020 In the last two decades, swarm intelligence optimization algorithms have been widely studied and applied to multiobjective optimization problems. In multiobjective optimization, reproduction operations and the balance of convergence and diversity are two crucial issues.
openaire +2 more sources
Multi-Sensor Data Fusion and CNN-LSTM Model for Human Activity Recognition System
Sensors, 2023 Human activity recognition (HAR) is becoming increasingly important, especially with the growing number of elderly people living at home. However, most sensors, such as cameras, do not perform well in low-light environments.
Haiyang Zhou +5 more
doaj +1 more source
Incrementally Learned Mixture Models for GNSS Localization
, 2020 GNSS localization is an important part of today's autonomous systems, although it suffers from non-Gaussian errors caused by non-line-of-sight effects. Recent methods are able to mitigate these effects by including the corresponding distributions in the ...
Pfeifer, Tim, Protzel, Peter
core +1 more source
BP Neural Network Fuse with Morphology Edge Detection Method
Journal of Harbin University of Science and Technology, 2021 In order to obtain better image edge information, an edge detection algorithm combining BP (Back Propagation) neural network and morphology is proposed.
YUE Xin-hua, DENG Cai-xia, ZHANG Zhao-ru
doaj +1 more source
Energies, 2018 Bogie bearings are very important for the safe and normal operation of metro vehicles. The prevailing fault diagnosis methods for bogie bearings generally utilize a single information source, such as vibration, temperature or acoustics.
Jianqiang Liu, Aifeng Chen, Nan Zhao
doaj +1 more source
Quality-based Multimodal Classification Using Tree-Structured Sparsity [PDF]
, 2014 Recent studies have demonstrated advantages of information fusion based on sparsity models for multimodal classification. Among several sparsity models, tree-structured sparsity provides a flexible framework for extraction of cross-correlated information
Bahrampour, Soheil +3 more
core +2 more sources