Fusion Algorithm Development of Multi-Modality Data
Project runs from 02/25/2019 to 12/31/2021
Our goal in this effort is to apply recently developed multi-modality fusion algorithms to vehicle data collected at ORNL. The testing of additional sensors would ensure the applicability of our approaches to the ORNL target goal of potentially deploying these algorithms in their system which is an on-going project.
This testing project is to hence harness a number of sensing modalities including, acoustic, magnetic, video, possibly laser, and jointly exploit them to carry out target inference. We will focus on a vast database of vehicles most of which have been characterized by the previously mentioned modalities.
In coordination with the ORNL Project Lead, we will work to identify the potential stress factors for the developed algorithms in the field, and will define the proper strategies to preserve a robust or at least gracefully degrading performance of the algorithms.