Patent classifications
G01S13/52
Method, apparatus, and system for wirelessly tracking keystrokes
Methods, apparatus and systems for wirelessly tracking keystrokes on a surface are described. In one example, a described system comprises: a transmitter configured for transmitting, using a transmit antenna, a first wireless signal through a wireless channel of a venue including the surface; a receiver configured for receiving, using a plurality of receive antennas, a second wireless signal through the wireless channel, wherein the second wireless signal comprises a reflection of the first wireless signal by at least one moving object in the venue; and a processor. The processor is configured for: obtaining, regarding each receive antenna, a time series of channel information (CI) of the wireless channel based on the second wireless signal, detecting at least one keystroke on the surface based on the time series of CI (TSCI) obtained regarding each receive antenna, determining at least one location of the at least one keystroke on the surface, and determining at least one key associated with the at least one keystroke based on the at least one location.
Method, System, and Computer Program Product for Resolving Level Ambiguity for Radar Systems of Autonomous Vehicles
Methods, systems, and products for resolving level ambiguity for radar systems of autonomous vehicles may include detecting a plurality of objects with a radar system. Each first detected object may be associated with an existing tracked object based on a first position thereof. First tracked object data based on a first height determined for each first detected object may be stored. The first height may be based on the position of the detected object, the existing tracked object, and a tile map. Second tracked object data based on a second height determined for each second detected object not associated with the existing tracked object(s) may be stored. The second height may be based on a position of each second detected object, a vector map, and the tile map. A command to cause the autonomous vehicle to perform at least one autonomous driving operation may be issued.
OBJECT RECOGNITION APPARATUS, OBJECT RECOGNITION METHOD, AND COMPUTER READABLE MEDIUM
An extraction unit (101) extracts as a stationary object-detection point, a detection point on a stationary object among a plurality of detection points around a vehicle (200), the plurality of detection points being detected by an outside-detection sensor (501) at a plurality of detection timings. A grouping unit (105) groups two or more stationary object-detection points deduced as detection points on a same stationary object, among a plurality of stationary object-detection points extracted by the extraction unit (101) at the plurality of detection timings.
DETERMINING RELEVANT SIGNALS USING MULTI-DIMENSIONAL RADAR SIGNALS
A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.
DETERMINING RELEVANT SIGNALS USING MULTI-DIMENSIONAL RADAR SIGNALS
A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.
METHOD FOR OPERATING RADAR SENSORS
A method for operating radar sensors in a vehicle. At the outset, the acquired targets are divided into stationary targets and moving targets. The moving targets are then divided into primary targets, whereof the distances from the vehicle are less than a pre-definable threshold value, and secondary targets, whereof the distances from the vehicle are greater than a threshold value. The primary targets are fed to a first tracking device, which ascertains the states of the primary targets. The secondary targets are fed to a second tracking device, which ascertains the states of the secondary targets. The second tracking device carries out a computationally less powerful ascertainment of the states than the first tracking device.
DEEP LEARNING METHOD OF DETERMINING GOLF CLUB PARAMETERS FROM BOTH RADAR SIGNAL AND IMAGE DATA
An example method of modeling a portion of a golf club and a golf swing includes scanning the golf club to obtain scanning information, training a convolutional neural network using the scanning information, using at least one camera to obtain a series of images, converting the series of images into parameterized motion representations, using at least one radar to obtain a radar signal, converting the radar signal into time-frequency images, inputting the parameterized motion representations and the time-frequency images into the convolutional neural network, receiving golf club parameters and golf swing parameters as an output of the convolutional neural network, and generating a visual model of the golf club and the golf swing in a virtual space using the golf club parameters and the golf swing parameters.
Method of processing data, apparatus for processing data, and system for controlling vehicle
Disclosed are a method of processing data, an apparatus for processing data, and a system for controlling a vehicle. The apparatus includes: a track sorter, configured to select a reference track from among a plurality of tracks generated based on sensing data captured by a radar sensor and to sort one or more sorted tracks that satisfy a preset filter condition, based on the reference track; a histogram generator, configured to extract transverse location information of the reference track and the one or more sorted tracks for a preset period and generate a short-term histogram and a long-term histogram having transverse locations of the reference track and each of the sorted tracks as factors; and an identifier configured to identify a mirror track based on a histogram similarity using the short-term histogram and the long-term histogram for the reference track and each of the sorted tracks. According to the present disclosure, there is an effect of increasing driving safety by accurately identifying a mirror track.
Method of processing data, apparatus for processing data, and system for controlling vehicle
Disclosed are a method of processing data, an apparatus for processing data, and a system for controlling a vehicle. The apparatus includes: a track sorter, configured to select a reference track from among a plurality of tracks generated based on sensing data captured by a radar sensor and to sort one or more sorted tracks that satisfy a preset filter condition, based on the reference track; a histogram generator, configured to extract transverse location information of the reference track and the one or more sorted tracks for a preset period and generate a short-term histogram and a long-term histogram having transverse locations of the reference track and each of the sorted tracks as factors; and an identifier configured to identify a mirror track based on a histogram similarity using the short-term histogram and the long-term histogram for the reference track and each of the sorted tracks. According to the present disclosure, there is an effect of increasing driving safety by accurately identifying a mirror track.
CIRCUITRY AND METHOD
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.