Range-Angle Likelihood Maps for Indoor Positioning Using Deep Neural Networks

Muhammad Ammad, Paul Schwarzbach, Michael Schultz +1

Accurate and high precision of the indoor positioning is as important as ensuring reliable navigation in outdoor environments. Using the state-of-the-art deep learning models provi…