Abstract: A method includes obtaining an initial point cloud for each of two or more radar systems that share a common field of view. Each initial point cloud results from processing reflected energy at each of the two or more radar systems. Each point of the initial point cloud indicates one or more hypotheses for a range, a Doppler, and a direction of arrival (DOA) to an object that resulted in the reflected energy. A point cloud, obtained from the initial point cloud, has a same number of hypotheses for the range, the Doppler, and the DOA. Resolving ambiguity in the common field of view is based on the point clouds to obtain resolved and unresolved points in the common field of view. A radar image obtained from each of the two or more radar systems is used to control an aspect of operation of a vehicle.

Abstract: A system and method to detect a target with a radar system of a vehicle involve transmitting two or more chirps, in turn, from two or more transmit elements. Each chirp is a continuous wave liner frequency modulated waveform. The method also includes receiving reflections generated by each of the two or more chirps from each of the two or more transmit elements at two or more receive elements, and processing the reflections based on a Doppler sampling frequency corresponding with a period of each of the two or more chirps to determine velocity of each detected target relative to the vehicle.

Abstract: A vehicle, radar system and method of detecting an object is disclosed. The radar system includes plurality of sensors a plurality of sensors, wherein a field of view of one of the plurality of sensors overlaps a field of view of at least another of the plurality of sensors at a region, and a processor. The processor is receives from the plurality of sensors a detection from the region, the detection related to an object, determines an overlap value for the region, adjusts a density parameter of a clustering criterion based on the overlap value, and determines a valid clustering of the detection with a neighboring detection using the adjusted density parameter.

Abstract: A system and method to perform target tracking with a radar system that uses a Kalman filter include predicting a predicted target position of a target detected by the radar system in a frame. The frame is a period of time to transmit from every transmit element of the radar system in turn and receive the reflections from a range of the target. The method also includes determining an actual target position of the target detected by the radar system based on reflections received by the radar system for the frame, and computing a process noise covariance matrix Q for a next frame, immediately following the frame, based on the predicted target position and the actual target position. Predicting a position of the target in the next frame is based on the process noise covariance matrix Q.

Abstract: A system and method to detect a target with a radar system of a vehicle involve transmitting two or more chirps, in turn, from two or more transmit elements. Each chirp is a continuous wave liner frequency modulated waveform. The method also includes receiving reflections generated by each of the two or more chirps from each of the two or more transmit elements at two or more receive elements, and processing the reflections based on a Doppler sampling frequency corresponding with a period of each of the two or more chirps to determine velocity of each detected target relative to the vehicle.

Abstract: A vehicle, radar system and method of detecting an object is disclosed. The radar system includes plurality of sensors a plurality of sensors, wherein a field of view of one of the plurality of sensors overlaps a field of view of at least another of the plurality of sensors at a region, and a processor. The processor is receives from the plurality of sensors a detection from the region, the detection related to an object, determines an overlap value for the region, adjusts a density parameter of a clustering criterion based on the overlap value, and determines a valid clustering of the detection with a neighboring detection using the adjusted density parameter.

Abstract: A radar system and method of processing one or more return signals obtained by a receive section of a radar system resulting from transmitting one or more signals involve a transmit section to transmit the one or more signals, and a receive section to receive the one or more return signals resulting from reflection of the one or more signals by a target. The system also includes a processor to process the one or more return signals using a two-stage fast Fourier transform (FFT) to obtain a range-Doppler map indicating energy levels at each of a set of range values and a set of Doppler values, to filter the range-Doppler map using a kernel sized according to an estimate of a number of the set of range values over which the energy levels above a threshold value are spread, and to perform target detection based on a result of filtering.

Abstract: Methods and systems are provided for controlling a radar system of a vehicle. One or more transmitters are configured to transmit radar signals and tracking information is translated and coupled between radar transmitters in order to reduce target acquisition times when commencing a new track.

Abstract: A vehicle, system and method of driving the vehicle. A radar system obtains a measured location of an object in an environment of the vehicle. A processor predicts a location of the object, determines a distance between the predicted location of the object and the measured location of the object, determines a confidence level for the predicted location the object based on the determined distance, selects a tracking state for the object based on the confidence level, and drives the vehicle to avoid the object according to the tracking state of the object. The processor and radar system may be onboard the vehicle.

Abstract: Methods and systems are provided for controlling a radar system of a vehicle. In particular a method and apparatus are taught for a predictive tracking algorithm for predicting the power of a target cluster for the next frame and determining a predicted cluster power for the next frame. The updated power of the next cluster frame is a function of the predicted power, the current measured power and the SNR of the environment. The power of cluster is computed taking into account the energy backscattered by each detection inside the cluster.

Abstract: Methods and systems are provided for controlling a radar system of a vehicle. One or more transmitters are configured to transmit radar signals and tracking information is translated and coupled between radar transmitters in order to reduce target acquisition times when commencing a new track.

Abstract: Methods and systems are provided for controlling a radar system of a vehicle. In particular a method is taught for updating a radar detection threshold according to a cluster power and cluster tracking information. The method then updates the detector for that specific known region wherein each cluster may have its own unique threshold.

Abstract: A method of tracking an object includes establishing a track from a plurality of sequential Doppler radar frames f?1, f?2, f?3, etc. A location of a representative centroid of a cluster of data points is identified in a Doppler radar frame f. A radial velocity between a location of the track in the Doppler radar frame f?1 and the location of the representative centroid of the cluster in the Doppler radar frame f is calculated. An error between a Doppler velocity of the track in the Doppler radar frame f?1 and the calculated radial velocity is calculated. When the calculated error is less than a minimum error threshold, the representative centroid of the cluster in the Doppler radar frame f is associated with the track.

Abstract: A vehicle, system and method for tracking an object with respect to the vehicle. A radar system receives a first plurality of detections from an object during a first time frame and a second plurality of detection during a second time frame. A region covariance matrix is calculated for a cluster formed from the first plurality of detections. An updated covariance matrix for the cluster is calculated from the region covariance matrix of the first time frame. A region covariance matrix is calculated for each of a plurality of clusters formed from the second plurality of detections. A metric is determined between the updated covariance matrix and each region covariance matrix from the second time frame. The object is tracked by associating the region covariance matrix from the second time frame having the smallest metric to the region covariance matrix of the first time frame.

Abstract: A system and method to perform target tracking with a radar system that uses a Kalman filter include predicting a predicted target position of a target detected by the radar system in a frame. The frame is a period of time to transmit from every transmit element of the radar system in turn and receive the reflections from a range of the target. The method also includes determining an actual target positon of the target detected by the radar system based on reflections received by the radar system for the frame, and computing a process noise covariance matrix Q for a next frame, immediately following the frame, based on the predicted target position and the actual target position. Predicting a position of the target in the next frame is based on the process noise covariance matrix Q.

Abstract: A vehicle, system and method of driving the vehicle. A radar system obtains a measured location of an object in an environment of the vehicle. A processor predicts a location of the object, determines a distance between the predicted location of the object and the measured location of the object, determines a confidence level for the predicted location the object based on the determined distance, selects a tracking state for the object based on the confidence level, and drives the vehicle to avoid the object according to the tracking state of the object. The processor and radar system may be onboard the vehicle.