Presentation Information
[B-15-02]Spatial shape estimation using machine learning with radar data
〇Takashi Maruyama1, Tai Tanaka1 (1. Mitsubishi Electric)
Keywords:
Radar Simulation,Machine Learning
We have estimated the spatial shape and dimensions from radar-derived information. In this study, we estimate the space size using machine learning in a challenging radio environment: an enclosed space with multipath reflections and only a small number of antenna elements. In addition to the space dimensions, we also estimate the radar position. We demonstrate that the dimensions can be estimated even when there is a positioning error. All three variables, including the position, can be estimated.