UAV-Borne 2-D and 3-D Radar-Based Grid Mapping

For unmanned aerial vehicles (UAVs), grid maps can be a versatile tool for navigation and self-localization. In general, payload is critical UAVs every additional sensor limits the flight duration. Due to its robustness ability directly measure velocities, radar sensors are well suited sense avoid applications (SAAs) UAVs. It would advantageous if these data could used generate instead of mounting such as light detection ranging (LiDAR). This letter demonstrates that using from high-resolution multiple-input–multiple-output (MIMO) imaging radars, 2-D 3-D created. The necessary adaption free-space model MIMO radar-based occupancy presented in detail. UAV-borne measurements resulting with an adequate representation environment validate this approach.