Jacob Biehl, Ph.D.

Senior Research Scientist

Jacob Biehl

Jacob’s work at FXPAL centers on the design and development of collaborative systems and supporting technologies. At FXPAL, he has worked on Loco, MyUnity, and Jarvis.  He holds a B.S. in Statistics and Computer Science from the University of Illinois at Urbana-Champaign, where he also earned a M.S. and Ph.D. in Computer Science.

Co-Authors

Publications

2018
Publication Details
  • International Conference on Robotics and Automation
  • May 21, 2018

Abstract

Close
In this paper, we propose a novel solution to optimize the deployment of (RF) beacons for the purpose of indoor localization. We propose a system that optimizes both the number of beacons and their placement in a given environment. We propose a novel cost-function, called CovBSM, that allows to simultaneously optimize the 3-coverage while maximizing the beacon spreading. Using this cost function, we propose a framework that maximize both the number of beacons and their placement in a given environment. The proposed solution accounts for the indoor infrastructure and its influence on the (RF) signal propagation by embedding a realistic simulator into the optimization process.