Patent classifications
G01S13/70
Method, system and computer program product for intelligent tracking
A method, system and computer program product for intelligent tracking and transformation between interconnected sensor devices of mixed type is disclosed. Metadata derived from image data from a camera is compared to different metadata derived from radar data from a radar device to determine whether an object in a Field of View (FOV) of one of the camera and the radar device is an identified object that was previously in the FOV of the other of the camera and the radar device.
Method, system and computer program product for intelligent tracking
A method, system and computer program product for intelligent tracking and transformation between interconnected sensor devices of mixed type is disclosed. Metadata derived from image data from a camera is compared to different metadata derived from radar data from a radar device to determine whether an object in a Field of View (FOV) of one of the camera and the radar device is an identified object that was previously in the FOV of the other of the camera and the radar device.
System and method of determining target's range profiles for costal surveillance radars
Determining a target's range profiles is an important issue for coastal surveillance radars because it can give us the knowledge about the target, for example, target's type, target's structure and its length along radial direction. Some modern radars nowaday are equipped with the feature of target's range profile extraction, but the results are not accurate due to limitations in processing algorithms. The invention “system and method of determining target's range profiles for coastal surveillance radars” solves the above problem in the direction of proposing a system of technical solutions and associated algorithm improvements.
Device, system, and method for tracking an object using radar data and imager data
A system for tracking the movement of an object includes a radar device having a first field of view. The radar device generates radar data indicating one of a range corresponding to a distance of a moving object within the first field of view from the radar device and a range rate corresponding to a rate at which the distance is changing relative to the radar device. The system also includes an imager having a second field of view at least partially overlapping the first field of view in an overlap field of view. The imager generates imager data measuring, when the object is in the second field of view, an angular position of the object relative to the imager in at least one dimension. In addition, the system includes a processor combining the radar data and imager data, when the object is in the overlap field of view, to identify a track of the object in at least two dimensions.
Device, system, and method for tracking an object using radar data and imager data
A system for tracking the movement of an object includes a radar device having a first field of view. The radar device generates radar data indicating one of a range corresponding to a distance of a moving object within the first field of view from the radar device and a range rate corresponding to a rate at which the distance is changing relative to the radar device. The system also includes an imager having a second field of view at least partially overlapping the first field of view in an overlap field of view. The imager generates imager data measuring, when the object is in the second field of view, an angular position of the object relative to the imager in at least one dimension. In addition, the system includes a processor combining the radar data and imager data, when the object is in the overlap field of view, to identify a track of the object in at least two dimensions.
Moving object detection system and method
Disclosed is a moving object detection system and method. The moving object detection system includes an input unit receiving the sensed signals from two or more radar devices, a distance information computation unit computing distance information of the objects from the received signals, a grouping unit randomly selecting one signal to generate multiple signal groups, and generating the signal groups selected among the generated multiple signal groups as one signal group combination, a calculation unit calculating cross-correlation values for all the signal groups in the same signal group combination and adding up the calculated cross-correlation values, a combination selection unit selecting the signal group combination in which a sum of the cross-correlation values is a maximum, and a position computation unit computing a position of each object by matching the signal groups in the selected signal group combination to the objects.
Moving object detection system and method
Disclosed is a moving object detection system and method. The moving object detection system includes an input unit receiving the sensed signals from two or more radar devices, a distance information computation unit computing distance information of the objects from the received signals, a grouping unit randomly selecting one signal to generate multiple signal groups, and generating the signal groups selected among the generated multiple signal groups as one signal group combination, a calculation unit calculating cross-correlation values for all the signal groups in the same signal group combination and adding up the calculated cross-correlation values, a combination selection unit selecting the signal group combination in which a sum of the cross-correlation values is a maximum, and a position computation unit computing a position of each object by matching the signal groups in the selected signal group combination to the objects.
Time-of-flight determination of user intent
An electronic device that selectively performs a predefined action is described. The predefined action can be any action performed by the electronic device, such as changing the power state of the electronic device or a component, change the state of a display, initiating a process, ending a process, etc. During operation, the electronic device may transmit a wireless signal. Then, the electronic device may receive a wireless-return signal associated with an object, which can indicate a time-of-flight of the wireless signal between the electronic device and the object. Moreover, the electronic device may determine a range between the electronic device and the object based at least in part on the wireless-return signal. When the range between the electronic device and the object is less than a threshold value, the electronic device may determine: whether the range between the electronic device and the object is varying and/or whether to perform the predefined action.
Integration of tracking with classifier in mmwave radar
In an embodiment, a method for tracking a target using a millimeter-wave radar includes: receiving radar signals using the millimeter-wave radar; generating a range-Doppler map based on the received radar signals; detecting a target based on the range-Doppler map; tracking the target using a track; generating a predicted activity label based on the track, where the predicted activity label is indicative of an actual activity of the target; generating a Doppler spectrogram based on the track; generating a temporary activity label based on the Doppler spectrogram; assigning an uncertainty value to the temporary activity label, where the uncertainty value is indicative of a confidence level that the temporary activity label is an actual activity of the target; and generating a final activity label based on the uncertainty value.
Systems and methods for simultaneous range-rate unwrapping and outlier removal for radar
Systems and methods for operating radar systems. The methods comprise, by a processor: receiving point cloud information generated by radar devices; grouping data points of the point cloud to form at least one segment; computing possible true range-rate values for each data point in the at least one segment; identifying a scan window including possible true range-rate values for a largest number of data points; determining whether at least two modulus of the data points associated with the possible true range-rate values included in the identified scan window have moduli values that are different by a certain amount; determining a new range-rate value for each data point of the segment, when a determination is made that at least two modulus of the data points do have moduli values that are different by the certain amount; and modifying the point cloud information in accordance with the new range-rate value.