Abstract: A system and method to receive radar returns from objects in response to radar scans from a moving radar system, wherein the radar returns include Doppler shift, to adjust velocity indicated in each of the radar returns based on an azimuth of each radar return to generate a set of adjusted radar returns, to group the adjusted radar returns into groups based on the velocity indicated in each of the adjusted radar returns, each group having a predetermined minimum velocity value Vmin, a predetermined maximum velocity value Vmax, and a predetermined threshold velocity difference value between Vmin and Vmax, and to determine which of the objects are static objects based on determining which group has the highest number of adjusted radar returns. Vehicle speed and speed of other moving objects can be determined based on determining which objects are static.

Abstract: A system and method to receive radar returns from objects in response to radar scans from a moving radar system, wherein the radar returns include Doppler shift, to adjust velocity indicated in each of the radar returns based on an azimuth of each radar return to generate a set of adjusted radar returns, to group the adjusted radar returns into groups based on the velocity indicated in each of the adjusted radar returns, each group having a predetermined minimum velocity value Vmin, a predetermined maximum velocity value Vmax, and a predetermined threshold velocity difference value between Vmin and Vmax, and to determine which of the objects are static objects based on determining which group has the highest number of adjusted radar returns. Vehicle speed and speed of other moving objects can be determined based on determining which objects are static.

Abstract: Disclosed herein are systems and methods for adaptive CFAR detection and prioritization of objects in an environment. The system can select a cell under test (CUT) and an associated feature set of the cell. A CFAR detection threshold may be determined based on the feature set. The CUT is compared with its neighboring cells to determine whether an object is detected based on the CFAR detection threshold. The detected object is grouped by feature set and compared to a figure of merit (FOM) threshold to generate a priority score. Scored detected objects are sorted to generate a prioritized list of detected objects. The CFAR detection threshold and/or FOM threshold is dynamically updated based on the prioritized list of detected objects.