This rotating technique produces a dense array of virtual measurement points, enabling PanoRadar to achieve imaging resolution comparable to LiDAR, even though the sensor itself is only a small portion of the price of normally costly LiDAR systems.
“The key innovation is in how we process these radio wave measurements,” explains Zhao. “Our signal processing and machine learning algorithms are able to extract rich 3D information from the environment,” said Mingmin Zhao, Assistant Professor in Computer and Information Science, in a statement.