PI: Magnus Oskarsson, PI (LU)
Over the last years we have seen a renewed interest in radar applications, especially in combination with camera data. One of the attractive points of this combination is the sensors’ complementary nature and failure modes. Cameras and lidars suffer from severe degradation in harsh environments, with snow and rain. With longer wavelengths, radars can penetrate through such matter to a larger extent. Radars are also installed on various mobile platforms in the desire to reduce the sensor payload, giving them larger roles in applications where cameras are traditionally used, within e.g. autonomous vehicles, robotics and surveillance. In this project we will target the problem of automatic joint calibration of a system of radar sensors and cameras. We have recently introduced a radar model based on orthographic projection, which gives a general framework for solving many different types of relevant calibration problems.
Project number: E3
