Conference 12125 > Paper 12125-15
Paper 12125-15

Realtime visual-inertial SLAM integrated with radar data to triangulate targets

4 April 2022 • 3:40 PM - 4:00 PM EDT

Abstract

This paper presents research concerning the use of visual-inertial Simultaneous Localization And Mapping (SLAM) algorithms to aid in Continuous Wave (CW) radar target mapping. Instead of using radar to aid in SLAM, the application in this case is to use SLAM outputs to localize radar data and construct three-dimensional target maps which can be viewed live in augmented reality. These methods are transferable to any type of radar unit, but this paper presents the research showing how the methods can be applied to efficiently calculate depth with CW radar through triangulation using a Boolean intersection algorithm.

Presenter

The Univ. of Vermont (United States)
Josh is a student at the University of Vermont studying for his masters in mechanical engineering. He specializes in control theory and systems. His research focus has been on integrating radar systems with augmented reality and real-time viewing.
Presenter/Author
The Univ. of Vermont (United States)
Author
The Univ. of Vermont (United States)
Author
Tian Xia
The Univ. of Vermont (United States)
Author
The Univ. of Vermont (United States)