Outdoor Environment Reconstruction with Deep Learning on Radio Propagation Paths

no code implementations • 27 Feb 2024 • Hrant Khachatrian, Rafayel Mkrtchyan, Theofanis P. Raptis

Conventional methods for outdoor environment reconstruction rely predominantly on vision-based techniques like photogrammetry and LiDAR, facing limitations such as constrained coverage, susceptibility to environmental conditions, and high computational and energy demands.

ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation

no code implementations • 22 Apr 2023 • Rafayel Darbinyan, Hrant Khachatrian, Rafayel Mkrtchyan, Theofanis P. Raptis

The challenging problem of non-line-of-sight (NLOS) localization is critical for many wireless networking applications.