AI-based sensor information fusion for supporting deep supervised learning

CK Leung, P Braun, A Cuzzocrea - Sensors, 2019 - mdpi.com
In recent years, artificial intelligence (AI) and its subarea of deep learning have drawn the
attention of many researchers. At the same time, advances in technologies enable the …

Data fusion for ITS: A systematic literature review

C Ounoughi, SB Yahia - Information Fusion, 2023 - Elsevier
In recent years, the development of intelligent transportation systems (ITS) has involved the
input of various kinds of heterogeneous data in real time and from multiple sources, which …

[HTML][HTML] Comprehensive systematic review of information fusion methods in smart cities and urban environments

MA Fadhel, AM Duhaim, A Saihood, A Sewify… - Information …, 2024 - Elsevier
Smart cities result from integrating advanced technologies and intelligent sensors into
modern urban infrastructure. The Internet of Things (IoT) and data integration are pivotal in …

Deep transfer learning with self-attention for industry sensor fusion tasks

Z Zhang, M Farnsworth, B Song, D Tiwari… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Monitoring of complex industrial processes can be achieved by obtaining process data by
utilising various sensing modalities. The recent emergence of deep learning provides a new …

Multi-sensor information fusion for Internet of Things assisted automated guided vehicles in smart city

AA AlZubi, A Alarifi, M Al-Maitah, O Alheyasat - Sustainable Cities and …, 2021 - Elsevier
Smart transportation is one of the important factor in the smart city environment because it
enhance the citizen lives style and improving the sustainability. Driverless Automatically …

Improving inertial sensor by reducing errors using deep learning methodology

H Chen, P Aggarwal, TM Taha… - NAECON 2018-IEEE …, 2018 - ieeexplore.ieee.org
Autonomous cars are the future of automotive industry. Autonomous or driverless cars must
be able to rapidly and accurately sense and analyze their immediate environment to take …

The application of edge computing technology in the collaborative optimization of intelligent transportation system based on information physical fusion

G Yan, Q Qin - IEEE Access, 2020 - ieeexplore.ieee.org
Edge computing technology is an important computer operating system in China. It plays a
key role in multi-system fusion and intelligent manufacturing, and can play a key role in …

Data fusion in autonomous vehicles research, literature tracing from imaginary idea to smart surrounding community

S AlZu'bi, Y Jararweh - … Conference on Fog and Mobile Edge …, 2020 - ieeexplore.ieee.org
Many significant challenges related to transportation systems have been raised recently,
these include the high accidents rate, road congestion, emission of gases, and environment …

Data fusion and IoT for smart ubiquitous environments: A survey

F Alam, R Mehmood, I Katib, NN Albogami… - Ieee …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …

Sensor data fusion based on deep learning for computer vision applications and medical applications

RA Naqvi, M Arsalan, T Qaiser, TM Khan, I Razzak - Sensors, 2022 - mdpi.com
Sensor fusion is the process of merging data from many sources, such as radar, lidar and
camera sensors, to provide less uncertain information compared to the information collected …