Joint Sensor Registration and Tracking with Heterogeneous Sensors


Joint Sensor Registration and Tracking with Heterogeneous Sensors

Fri, 14/12/2018 - 10:00


David Cormack
Heriot-Watt University - ISSS

The number of nodes in sensor networks is continually increasing, and maintain accurate track estimates inside their common surveillance region is a mission-critical necessity. Modern sensor platforms are likely to carry a range of Commercial Off The Shelf (COTS) sensors with different modalities, all providing data at differing rates, and with varying degrees of uncertainty. These factors complicate the fusion problem as multiple observation models need to be derived, along with a dynamic prediction model. However the problem is exacerbated when the sensors are not correctly registered with respect to one another. Measurements from different sensors may correspond to the same target, but will not correlate with one another when projected into a common reference frame. Recent advances in computationally efficient and scalable tracking and estimation methods allow for both the registration and fusion problems to be solved jointly. This talk will give an overview of the problems, and our approach to solving them, from an application-driven and practical perspective.


David Cormack is currently a 3rd year PhD student in ISSS at Heriot-Watt University, and IDCOM at the University of Edinburgh. His project is associated with the University Defence Research Collaboration (UDRC), and is sponsored by Leonardo in Edinburgh. Before starting his PhD, David graduated with an MEng with Distinction in Electrical and Electronic Engineering from Heriot-Watt University, Edinburgh. He was also awarded a Watt Club Medal, the University's premier award for undergraduates, for achieving greatest distinction in the degree programme. His research interests include target detection, radar signal processing, target tracking and sensor fusion.