Exemplary aspects are directed to or involve a radar transceiver to transmit signal and receive reflected radar signals via a communication channel. The exemplary method includes radar receiver data processing circuitry that may be used to differentiate a subset of representations of the received signals. This differentiation may be used to select signals that are more indicative of target(s) having a given range than other ones of the received signals. The received signal's representations may then be compressed by using variable-mantissa floating-point numbers having mantissa values that vary based, at least in part, on at least one strength characteristic of the respective representations.

A trailer-detection system includes a radar-sensor and a controller. The radar-sensor is used to determine a range, an azimuth-angle, and an elevation-angle of a radar-signal reflected by a trailer towed by a host-vehicle. The controller is in communication with the radar-sensor. The controller is configured to determine a size of the trailer towed by the host-vehicle based on the range, the azimuth-angle, and the elevation-angle of the radar-signal.

A trailer-detection system includes a radar-sensor and a controller. The radar-sensor is used to determine a range, an azimuth-angle, and an elevation-angle of a radar-signal reflected by a trailer towed by a host-vehicle. The controller is in communication with the radar-sensor. The controller is configured to determine a size of the trailer towed by the host-vehicle based on the range, the azimuth-angle, and the elevation-angle of the radar-signal.

A system for tracking multiple projectiles includes a first radar device aimed so that a field of view of the first radar device covers at least a portion of a target area into which projectiles are to be launched from a plurality of launch locations and a processor receiving data from the radar and identifying from the data tracks of a plurality of projectiles. The processor determines for each projectile track identified a specific one of the launch locations from which the projectile was launched and provides to the launch location associated with each projectile data corresponding to a trajectory of the projectile.

Foldable displays may have portions folded into a folded configuration. Each folded portion may be observed by a user at a different viewing angle. As such, folding-artifacts may appear in the displayed image as a result of the different viewing angles. For example, a perceptible color difference and/or a perceptible brightness difference may appear between folded portions. Disclosed here are systems and methods to create compensated images that when displayed reduced the folding artifacts. The creation may include sensing a viewing angle for each portion and determining adjustments for pixels in each portion using a display model. The display model may be created by measuring color and brightness of pixels for various folded configurations, view-points and/or viewing angles.

Foldable displays may have portions folded into a folded configuration. Each folded portion may be observed by a user at a different viewing angle. As such, folding-artifacts may appear in the displayed image as a result of the different viewing angles. For example, a perceptible color difference and/or a perceptible brightness difference may appear between folded portions. Disclosed here are systems and methods to create compensated images that when displayed reduced the folding artifacts. The creation may include sensing a viewing angle for each portion and determining adjustments for pixels in each portion using a display model. The display model may be created by measuring color and brightness of pixels for various folded configurations, view-points and/or viewing angles.

An intelligent control method and system using a radar security camera are disclosed, wherein a target is detected by 360° radar sensing regardless of the rotation radius of a camera by using the security camera having a built-in radar, and the camera is enabled to track the target according to the moving direction and specific signs of the target after the target is identified as a person and a vehicle sequentially according to a decision priority order.

Generally, the present disclosure is directed to systems and methods for streaming processing within one or more systems of an autonomy computing system. When an update for a particular object or region of interest is received by a given system, the system can control transmission of data associated with the update as well as a determination of other aspects by the given system. For example, the system can determine based on a received update for a particular aspect and a priority classification and/or interaction classification determined for that aspect whether data associated with the update should be transmitted to a subsequent system before waiting for other updates to arrive.

In an embodiment, a method includes: receiving reflected radar signals with a millimeter-wave radar; performing a range discrete Fourier Transform (DFT) based on the reflected radar signals to generate in-phase (I) and quadrature (Q) signals for each range bin of a plurality of range bins; for each range bin of the plurality of range bins, determining a respective strength value based on changes of respective I and Q signals over time; performing a peak search across the plurality of range bins based on the respective strength values of each of the plurality of range bins to identify a peak range bin; and associating a target to the identified peak range bin.

A method with grid map generation includes: determining position information of a moving object corresponding to a first time step based on a position sensor of the moving object; determining detection information of nearby objects present around the moving object corresponding to the first time step based on a radio detection and ranging (radar) sensor of the moving object; selecting a still object in a moving range of the moving object from among the nearby objects, based on the position information and the detection information; updating a point cloud determined based on the radar sensor in a previous time step of the first time step, based on the position information and on detection information of the still object comprised in the detection information of the nearby objects; and generating a grid map based on an occupancy probability for each grid of the updated point cloud.