Results 71 to 80 of about 1,174,484 (222)

A Multi-Sensor Data Fusion System for Laser Welding Process Monitoring

IEEE Access, 2020
Most existing laser welding process monitoring (LWPM) technologies focus on detecting post-process defects. However, in sheet metal laser welding applications such as welding of electronic consumer products during mass production, in-process defect ...
Fuqin Deng, Yongshen Huang, Song Lu, Yingying Chen, Jia Chen, Hua Feng, Jianmin Zhang, Yong Yang, Junjie Hu, Tin Lun Lam, Fengbin Xia   +10 more
semanticscholar   +1 more source

Multi-Sensor Fusion Technology Based on Aircraft: The Implementation of Aircraft State Monitoring [PDF]

MATEC Web of Conferences
Multi-sensor fusion technology has become a core element in developing modern Multi-sensor fusion technology, which has become a crucial component in advancing the modern aviation industry.
Bai Zirun, Xia Zixuan
doaj   +1 more source

Monitoring Corn Nitrogen Concentration from Radar (C-SAR), Optical, and Sensor Satellite Data Fusion

Remote Sensing, 2023
Corn (Zea mays L.) nitrogen (N) management requires monitoring plant N concentration (Nc) with remote sensing tools to improve N use, increasing both profitability and sustainability.
Adrián Lapaz Olveira, Hernán Saínz Rozas, Mauricio Castro-Franco, Walter Carciochi, Luciana Nieto, Mónica Balzarini, Ignacio Ciampitti, Nahuel Reussi Calvo   +7 more
doaj   +1 more source

Time-selective data fusion for in-network processing in ad hoc wireless sensor networks

International Journal of Distributed Sensor Networks, 2018
This article introduces a time-selective strategy for enhancing temporal consistency of input data for multi-sensor data fusion for in-network data processing in ad hoc wireless sensor networks.
Jaanus Kaugerand, Johannes Ehala, Leo Mõtus, Jürgo-Sören Preden   +3 more
doaj   +1 more source

Multi-sensor based strategy learning with deep reinforcement learning for unmanned ground vehicle

International Journal of Intelligent Networks, 2023
As intelligent Unmanned Ground Vehicles (UGVs) find broader applications in areas such as transportation and logistics. The fusion of multiple sensors becomes crucial, since it not only amplifies UGV perception in dynamic scenarios but also underpins ...
Mingyu Luo
doaj   +1 more source

Simultaneous measurement of multiple soil properties through proximal sensor data fusion: A case study

Geoderma, 2019
In this research, proximal soil sensor data fusion was defined as a multifaceted process which integrates geospatially correlated data, or information, from multiple proximal soil sensors to accurately characterize the spatial complexity of soils.
W. Ji, V. Adamchuk, Songchao Chen, A. S. Mat Su, A. Ismail, Qianjun Gan, Zhou Shi, Asim Biswas   +7 more
semanticscholar   +1 more source

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

Italian National Conference on Sensors, 2017
A fault diagnosis approach based on multi-sensor data fusion is a promising tool to deal with complicated damage detection problems of mechanical systems.
Luyang Jing, Taiyong Wang, Ming Zhao, Peng Wang   +3 more
semanticscholar   +1 more source

Camera-LiDAR Fusion Method with Feature Switch Layer for Object Detection Networks

Sensors, 2022
Object detection is an important factor in the autonomous driving industry. Object detection for autonomous vehicles requires robust results, because various situations and environments must be considered.
Taek-Lim Kim, Tae-Hyoung Park
doaj   +1 more source

Egocentric Activity Recognition with Multimodal Fisher Vector

, 2016
With the increasing availability of wearable devices, research on egocentric activity recognition has received much attention recently. In this paper, we build a Multimodal Egocentric Activity dataset which includes egocentric videos and sensor data of ...
Chandrasekhar, Vijay, Cheung, Ngai-Man, Lin, Jie, Mandal, Bappaditya, Song, Sibo   +4 more
core   +1 more source

Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions [PDF]

Fusion, 2018
A good and robust sensor data fusion in diverse weather conditions is a quite challenging task. There are several fusion architectures in the literature, e.g.
Andreas Pfeuffer, K. Dietmayer
semanticscholar   +1 more source