Abstract: A radar sensor system is provided that includes: multiple sensor units that each includes a radar receiver and a location sensor; and a processor that is configured to use location sensor-based information to determine differences between respective sensor unit nominal locations and respective sensor unit actual locations and to use the determined differences to fuse the radar data received at the radar receivers to produce a wide radar aperture.

Abstract: An imaging system is provided comprising: a memory storing instructions which, when executed by processing circuitry, cause the processing circuitry to perform operations comprising: determining multiple image regions of interest (ROIs) within a camera image plane that correspond to one or more three-dimensional (3D) world object images; determining multiple radar ROIs that correspond to one or more 3D world objects; determining 3D world distances corresponding to the radar ROIs; determining multiple co-registered ROI pairs by co-registering individual image ROIs with individual radar ROIs corresponding to common 3D world objects; adjusting one or more parameters associated with the camera, based upon the co-registered ROI pairs.

Abstract: A partially coordinated radar system is provided comprising: a radar transmitter; a radar receiver; processing circuitry; a first spatial information indicator; a side channel communication system to send radar waveform configuration information from the transmitter to the receiver; processing circuitry to use the waveform information to configure the radar receiver to receive the waveform signal; determine radar-based spatial information based upon the radar waveform signal; determine a mismatch of clocks or local oscillators of transmitter and receiver; and generating a compensation signal indicating correction information to compensate for the determined at least one mismatch.

Abstract: Systems and methods for labeling radar tracks for machine learning are disclosed. According to some aspects, a machine accesses data from radar unit(s), the data from the radar unit(s) comprising radar tracks, each radar track comprising one or more of the following: Doppler and micro-Doppler measurement(s), range measurement(s), and angle measurement(s). The machine accesses data from computer vision device(s), the data from the computer vision device(s) comprising image(s), the data from the computer vision device(s) being associated with a common geographic region and a common time period with the data from the radar unit(s). The machine labels, using an image recognition module, objects in the image(s). The machine determines, based on the common geographic region and the common time period, that labeled object(s) in the image(s) map to radar track(s). The machine labels the radar track(s) based on labels of the labeled objects.