  Since electromagnetic signals are omnipresent, Radio Frequency (RF)-sensing
has the potential to become a universal sensing mechanism with applications in
localization, smart-home, retail, gesture recognition, intrusion detection,
etc. Two emerging technologies in RF-sensing, namely sensing through Large
Intelligent Surfaces (LISs) and mmWave Frequency-Modulated Continuous-Wave
(FMCW) radars, have been successfully applied to a wide range of applications.
In this work, we compare LIS and mmWave radars for localization in real-world
and simulated environments. In our experiments, the mmWave radar achieves 0.71
Intersection Over Union (IOU) and 3cm error for bounding boxes, while LIS has
0.56 IOU and 10cm distance error. Although the radar outperforms the LIS in
terms of accuracy, LIS features additional applications in communication in
addition to sensing scenarios.
