Sensor fusion with high‐order moments constraints using projection‐based neural network
Abstract 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. This approach is unable to account for high‐order moments; thus, it is not ac...
Saved in:
Main Authors: | Yousef Alipouri, Reza Rafati Bonab, Lexuan Zhong |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-10-01
|
Series: | IET Signal Processing |
Subjects: | |
Online Access: | https://doi.org/10.1049/sil2.12046 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Compressing fully connected layers of deep neural networks using permuted features
by: Dara Nagaraju, et al.
Published: (2023-07-01) -
An order insensitive optimal generalised sequential fusion estimation for stochastic uncertain multi‐sensor systems with correlated noise
by: Dejin Wang, et al.
Published: (2023-05-01) -
Multiple extended target tracking by truncated JPDA in a clutter environment
by: Qinlei Li, et al.
Published: (2021-05-01) -
Research on heterogeneous data fusion and arithmetic optimization in multi-sensor systems
by: DING Kai, et al.
Published: (2024-12-01) -
A Review of Environmental Perception Technology Based on Multi-Sensor Information Fusion in Autonomous Driving
by: Boquan Yang, et al.
Published: (2025-01-01)