The present disclosure provides a circuitry for estimating a mounting angle of a radar sensor with respect to a mobile platform coordinate system. The circuitry is configured to estimate a first velocity of a first radar sensor, based on first radar detection data obtained from the first radar sensor, wherein the first radar detection data is indicative of at least two targets; estimate a second velocity of a second radar sensor, based on second radar detection data obtained from the second radar sensor, wherein the second radar detection data is indicative of at least two targets, and estimate the mounting angle of the first radar sensor, based on the estimated first velocity, the estimated second velocity, a predefined first mounting position of the first radar sensor with respect to the mobile platform coordinate system and a predefined second mounting position of the second radar sensor with respect to the mobile platform coordinate system.

The techniques and systems herein enable target-velocity estimation using position variance. Specifically, a plurality of detections of a target are received for respective times as the target moves relative to a host vehicle. Based on the detections, two-dimensional positions of the target relative to the host vehicle are determined for the respective times. Based on the positions of the target at the respective times, a first variance is determined for a first dimension of the positions, and a second variance is determined for a second dimension of the positions. Based on the first and second variances, an estimated velocity of the target is calculated. By basing the estimated velocity on the variances of the positions, more-accurate estimated velocities may be generated sooner, thus enabling better performance of downstream operations.

An estimation method is provided which includes: calculating a plurality of complex transfer functions, based on reception signals respectively received by N reception antenna elements during a predetermined period, the complex transfer functions each representing propagation characteristics between a transmission antenna element and the N reception antenna elements; extracting a variation component corresponding to each of the N reception antenna elements, from the calculated complex transfer functions, the variation component being caused by a living body; calculating a correlation matrix based on the variation component corresponding to each of the N reception antenna elements; calculating eigenvalues of the correlation matrix calculated in the calculating of the correlation matrix; and estimating the number of living bodies in a predetermined method, using the eigenvalues calculated in the calculating of the eigenvalues.

An estimation method is provided which includes: calculating a plurality of complex transfer functions, based on reception signals respectively received by N reception antenna elements during a predetermined period, the complex transfer functions each representing propagation characteristics between a transmission antenna element and the N reception antenna elements; extracting a variation component corresponding to each of the N reception antenna elements, from the calculated complex transfer functions, the variation component being caused by a living body; calculating a correlation matrix based on the variation component corresponding to each of the N reception antenna elements; calculating eigenvalues of the correlation matrix calculated in the calculating of the correlation matrix; and estimating the number of living bodies in a predetermined method, using the eigenvalues calculated in the calculating of the eigenvalues.

Aspects relate to techniques for communication between wireless communication devices using ranging channel information obtained by each of the wireless communication devices. For example, a first wireless communication device may obtain first monostatic ranging channel information based on reflected ranging signals received in response to transmission of a ranging signal. In addition, the first wireless communication device may receive ranging feedback information from a second wireless communication device associated with second monostatic ranging channel information obtained by the second wireless communication device. The first wireless communication device may then determine bistatic channel information from the first monostatic ranging channel information and the ranging feedback information and transmit a message to the second wireless communication device based on the bistatic channel information.

A computer implemented method for determining a position, and/or an acceleration, and/or an angular rate and/or an orientation of a vehicle includes the following steps carried out by computer hardware components: determining first measurement data using a first sensor; determining a preliminary position and/or a preliminary orientation based on the first measurement data; determining second measurement data using a second sensor, wherein the second sensor includes a radar sensor and/or a LIDAR sensor and/or a camera; determining a preliminary acceleration and/or a preliminary angular rate based on the second measurement data; and determining a final position, and/or a final acceleration, and/or a final angular rate and/or a final orientation based on the preliminary acceleration and/or the preliminary angular rate, and the preliminary position and/or the preliminary orientation.

A non-contact body temperature measuring device includes a temperature measuring unit, a Doppler radar, a processing unit, and a display unit. The temperature measuring unit measures a temperature of a human body in a non-contact manner. The Doppler radar emits radar waves to the human body and receives reflected radar waves. The processing unit, which is electrically connected to the temperature measuring unit and the Doppler radar, determines measurement spots on the human body based on the reflected radar waves, controls the temperature measuring unit to measure temperatures of the measurement spots, and generates a body temperature measuring value based on the temperatures of the measurement spots. The display unit is electrically connected to the processing unit for displaying the body temperature measuring value.

A self-location estimation device includes a landmark detection unit that detects a landmark from camera information, an association unit that associates the landmark detected by the landmark detection unit with a radar information group, a landmark sorting unit that performs sorting of the landmarks detected by the landmark detection unit based on the radar information groups associated with the landmarks by the association unit, and a positional relation calculation unit that calculates a positional relation between an own vehicle and the landmark employed by the landmark sorting unit, based on the radar information group associated with the landmark.

This document describes techniques, apparatuses, and systems for sensor fusion for object-avoidance detection, including stationary-object height estimation. A sensor fusion system may include a two-stage pipeline. In the first stage, time-series radar data passes through a detection model to produce radar range detections. In the second stage, based on the radar range detections and camera detections, an estimation model detects an over-drivable condition associated with stationary objects in a travel path of a vehicle. By projecting radar range detections onto pixels of an image, a histogram tracker can be used to discern pixel-based dimensions of stationary objects and track them across frames. With depth information, a highly accurate pixel-based width and height estimation can be made, which after applying over-drivability thresholds to these estimations, a vehicle can quickly and safely make over-drivability decisions about objects in a road.

An electronic device and a method for controlling the same are provided. The electronic device includes a communicator including circuitry, a first sensor configured to detect movement information of the electronic device, a memory including a first determination module configured to determine whether a user carries the electronic device and a second determination module configured to determine a detecting method for detecting a user location, and a processor configured to identify whether a user of the electronic device carries the electronic device based on the movement information of the electronic device obtained by the first sensor by using the first determination module, and determine a detecting method for detecting location information of the user according to whether the user carries the electronic device by using the second determination module.