Results 31 to 40 of about 3,083,050 (398)
Sensor fusion with high‐order moments constraints using projection‐based neural network
IET Signal Processing, 2021 The existing sensor fusion methods mainly follow two approaches, including Gaussian and Non‐Gaussian‐based sensor fusion approaches. In the first approach, fusion weights are determined based on the second moment.
Yousef Alipouri +2 more
doaj +1 more source
Interpretable Passive Multi-Modal Sensor Fusion for Human Identification and Activity Recognition
Italian National Conference on Sensors, 2022 Human monitoring applications in indoor environments depend on accurate human identification and activity recognition (HIAR). Single modality sensor systems have shown to be accurate for HIAR, but there are some shortcomings to these systems, such as ...
Liangqi Yuan +6 more
semanticscholar +1 more source
Sensor fusion for context understanding [PDF]
IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276), 2003 To answer the challenge of context-understanding for HCI, we propose and test experimentally a top-down sensor fusion approach. We seek to systematize the sensing process in two steps: first, decompose relevant context information in such a way that it can be described in a model of discrete facts and quantitative measurements; second, we build a ...
S. Ablay, Huadong Wu, Mel Siegel
openaire +2 more sources
Multi-Modal Sensor Fusion-Based Deep Neural Network for End-to-End Autonomous Driving With Scene Understanding [PDF]
IEEE Sensors Journal, 2020 This study aims to improve the performance and generalization capability of end-to-end autonomous driving with scene understanding leveraging deep learning and multimodal sensor fusion techniques.
Zhiyu Huang +3 more
semanticscholar +1 more source
A Review on Challenges of Autonomous Mobile Robot and Sensor Fusion Methods
IEEE Access, 2020 Autonomous mobile robots are becoming more prominent in recent time because of their relevance and applications to the world today. Their ability to navigate in an environment without a need for physical or electro-mechanical guidance devices has made it
Mary B. Alatise, G. Hancke
semanticscholar +1 more source
Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet Drops
Applied Sciences, 2023 This paper investigates the robust fusion estimation problem for multi-sensor systems with communication constraints, parameter uncertainty, d-step state delays, and deterministic control inputs.
Xiaolei Du, Huabo Liu, Haisheng Yu
doaj +1 more source
Multi-Sensor Fusion in Automated Driving: A Survey
IEEE Access, 2020 With the significant development of practicability in deep learning and the ultra-high-speed information transmission rate of 5G communication technology will overcome the barrier of data transmission on the Internet of Vehicles, automated driving is ...
Zhangjing Wang, Yu Wu, Qingqing Niu
semanticscholar +1 more source
Sensors, 2023 This paper is concerned with the estimation of correlated noise and packet dropout for information fusion in distributed sensing networks. By studying the problem of the correlation of correlated noise in sensor network information fusion, a matrix ...
Weichen Shang +4 more
doaj +1 more source
Distributed data fusion algorithms for inertial network systems [PDF]
, 2008 New approaches to the development of data fusion algorithms for inertial network systems are described. The aim of this development is to increase the accuracy of estimates of inertial state vectors in all the network nodes, including the navigation ...
Allerton, David J., Jia, Huamin
core +1 more source
Journal of Marine Science and Engineering, 2023 The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors.
Shuanghu Qiao +3 more
doaj +1 more source