A comparative review on multi-modal sensors fusion based on deep learning
The wide deployment of multi-modal sensors in various areas generates vast amounts of
data with characteristics of high volume, wide variety, and high integrity. However, traditional …
data with characteristics of high volume, wide variety, and high integrity. However, traditional …
Multisensors Fusion for Trajectory Tracking Based on Variational Normalizing Flow
The problem of multisensors fusion target trajectory tracking under the Bayesian variational
inference (VI) is to find the jointly accurate posterior distribution. In this article, a joint …
inference (VI) is to find the jointly accurate posterior distribution. In this article, a joint …