A method is provided for determining a road condition by using a radar system having transmitter and receiving units for transmitting and receiving radar waves having two different polarizations and providing transmit and receive signals indicating an intensity of the transmitted and received radar waves. Co-polarized backscattering coefficients and at least one cross-polarized backscattering coefficient are determined based on the transmit and receive signals. If the cross-polarized backscattering coefficient is greater than or equal to a threshold, the road condition is determined based on a ratio of the co-polarized backscattering coefficients and based on a difference of one of the co-polarized backscattering coefficients and the cross-polarized backscattering coefficient. If the cross-polarized backscattering coefficient is smaller than the threshold, the road condition is determined based on the ratio and a difference of the co-polarized backscattering coefficients.

A method is provided for determining a road condition by using a radar system having transmitter and receiving units for transmitting and receiving radar waves having two different polarizations and providing transmit and receive signals indicating an intensity of the transmitted and received radar waves. Co-polarized backscattering coefficients and at least one cross-polarized backscattering coefficient are determined based on the transmit and receive signals. If the cross-polarized backscattering coefficient is greater than or equal to a threshold, the road condition is determined based on a ratio of the co-polarized backscattering coefficients and based on a difference of one of the co-polarized backscattering coefficients and the cross-polarized backscattering coefficient. If the cross-polarized backscattering coefficient is smaller than the threshold, the road condition is determined based on the ratio and a difference of the co-polarized backscattering coefficients.

Example embodiments relate to techniques for detecting adverse road conditions using radar. A computing device may generate a first radar representation that represents a field of view for a radar unit coupled to a vehicle and during clear weather conditions and store the first radar representation in memory. The computing device may receive radar data from the radar unit during navigation of the vehicle on a road and determine a second radar representation based on the radar data. The computing device may also perform a comparison between the first radar representation and the second radar representation and determine a road condition for the road based on the comparison. The road condition may represent a quantity of precipitation located on the road and provide control instructions to the vehicle based on the road condition for the road.

Systems and methods are provided for tracking a passive controller system using an active sensor system within a mixed-reality environment. The passive controller system includes a body configured to be held in a hand of a user, as well as a plurality of retroreflectors that collectively provides at least 180 degrees of reflecting surface for reflecting a radar signal in at least 180 degrees of spherical range when the passive controller system is positioned within a predetermined distance from a source of the radar signal and with an orientation that is within the at least 180 degrees of spherical range relative to the source of the radar signal. Signals transmitted to the passive controller and reflected back from the passive controller are used to calculate the position and orientation of the passive controller system relative to the active sensor system.

Systems and methods are provided for tracking a passive controller system using an active sensor system within a mixed-reality environment. The passive controller system includes a body configured to be held in a hand of a user, as well as a plurality of retroreflectors that collectively provides at least 180 degrees of reflecting surface for reflecting a radar signal in at least 180 degrees of spherical range when the passive controller system is positioned within a predetermined distance from a source of the radar signal and with an orientation that is within the at least 180 degrees of spherical range relative to the source of the radar signal. Signals transmitted to the passive controller and reflected back from the passive controller are used to calculate the position and orientation of the passive controller system relative to the active sensor system.

Certain aspects of the present disclosure provide techniques for sensor calibration. First sensor data is received from a first sensor and second sensor data is received from a second sensor, where the first sensor data and the second sensor data each indicate detected objects in a space. The first sensor data is transformed using a first transformation profile to convert the first sensor data to a coordinate frame of the second sensor data. The first transformation profile is refined based on a difference between the transformed first sensor data and the second sensor data.

A system may include a display and a processor. The processor may be configured to: break down two-dimensional weather radar reflectivity data into cells, each cell of the cells having a maximum rainfall rate location and a geometric area; prioritize the cells based at least on each cell's proximity to the aircraft, each cell's intensity, each cell's growth rate, each cell's storm top altitude relative to the aircraft altitude, and/or a threat convective level of the cell to select a highest priority cell; and output, to the display, a highest priority azimuth slice vertical radar image of the two-dimensional weather radar reflectivity data as graphical data, the highest priority azimuth slice vertical radar image corresponding to an azimuth slice of the two-dimensional weather radar reflectivity data for the highest priority cell. The display may be configured to display the highest priority azimuth slice vertical radar image.

Disclosed are techniques for wireless sensing. In an aspect, a user equipment (UE) detects an object and a direction to the object in an environment of the UE, determines whether the object is a human, identifies, based on the object being the human, a sensitive body part of the human, and performs, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.

A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to access sensor data of a sensor of a vehicle while an adaptive cruise control feature of the vehicle is active, detect, based on the sensor data, an object located along a path of travel of the vehicle, determine that the object is a moveable object based on a radar return of a radar reflector of the object, and responsive to the determination that the object is the moveable object, adjust, by the adaptive cruise control feature, the speed of the vehicle.

Provided is a method for movement estimation and movement compensation of a target object that can be applied without introducing restrictions on antenna placement. The present invention provides a radar apparatus including: a radar signal transmission-reception unit acquiring a radar signal acquired by measurement using a transmission antenna and a reception antenna, and a measurement time of the radar signal; a velocity candidate control unit holding a setting of a velocity candidate set of a target object; a velocity estimation imaging unit generating a radar image applied with movement compensation by using each velocity candidate; a velocity estimation unit selecting an estimated velocity from a velocity candidate set, based on comparison of each generated radar image; and an output image imaging unit generating a final output image applied with movement compensation using an estimated velocity.