Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications

Rizwan Ali Naqvi; Muhammad Arsalan; Talha Qaiser; Tariq Mahmood Khan; Imran Razzak

doi:10.3390/s22208058

Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications

Sensors (Basel). 2022 Oct 21;22(20):8058. doi: 10.3390/s22208058.

Authors

Rizwan Ali Naqvi¹, Muhammad Arsalan², Talha Qaiser³, Tariq Mahmood Khan⁴, Imran Razzak⁴

Affiliations

¹ School of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea.
² Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea.
³ Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK.
⁴ School of Computer Science and Engineering, University of New South Wales, Sydney 1466, Australia.

Abstract

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 from single source [...].

Publication types

Editorial

MeSH terms

Algorithms*
Computers
Deep Learning*
Radar
Vision, Ocular

Grants and funding

This research received no external funding.