The present disclosure provides a vehicle control apparatus and a vehicle control method comprising a radar for receiving radar signals transmitted from outside the vehicle and reflected from objects around the vehicle and processing the received radar signals to obtain detection data for the objects, and a controller for determining a stationary object among the objects based on the detection data, extracting feature points, determining whether the stationary object is a guardrail based on the extracted feature points, and determining a false target among the objects based on the guardrail. According to the present disclosure, it is possible to prevent the unrecognition or misrecognition of the control targets due to the guardrail.

Methods for locating electromagnetic pulse emission sources in an environment including reflectors is disclosed. In one aspect, the method includes receiving, by a detector, for each source to be located, at least one same emitted pulse, received directly from said source and received by reflection on one of the reflectors. The method also includes identifying direct subsets and reflected subsets, regrouping by pairs of direct subsets with reflected subsets, calculating, for each pair, differences in dates of arrival between the pulses of the reflected subset and the pulses of the direct subset of the pair, and determining the distance of each source from the detector from calculated differences in dates of arrival of the pulses of each pair.

A system and method characterizes the height of targets in an environment around a vehicle. Signals are transmitted into the environment and return signals are received to determine a track corresponding to a target. For each track, bins are generated, each bin corresponding to a segment of the range, the segments having a gradually increasing size between the minimum range and maximum range. Range and magnitude values of the received return signals are determined for a selected track. A plurality of filled bins are determined, filled bins indicating that a return signal within the selected track has a range value falling within the segment corresponding to said bin. When the number of filled bins exceeds a set threshold, the return signals having range values within the segments corresponding to the filled bins are analyzed to characterize a height of the target.

A method for radio measuring applications, wherein a first radio node functions as an initiator and a second radio node as a transponder, each radio node has its own timer and a data interface, in a first step, the initiator transmits a first carrier frequency as an initial signal and the initial signal is received by the transponder during a first reception period, in a second step, a response signal with a second carrier frequency is transmitted by the transponder and the response signal is received by the initiator during a second reception period. The initial signal and the response signal are coherent at least during each sequence of steps, the carrier frequency of the initial signal is changed within one predetermined frequency domain with each repetition.

A method for radio measuring applications, wherein at least a first radio node operates as an initiator and at least a second radio node as a transponder, in a first step a first carrier frequency is transmitted by the initiator as an initial signal and received by the transponder. In a second step a response signal with a second carrier frequency is transmitted by the transponder and received by the initiator, during a measurement cycle at least one step sequence of the first and the second step is performed. First the first steps of all sequence of steps and subsequently at least a portion of the second steps of the step sequences are performed in succession, the first carrier frequency assumes a value within a predetermined frequency domain for each repetition, and the initial signals and the response signals are mutually coherent at least within the measurement cycle.

In a position estimation processing unit, by using the reflected wave signal of an array composed of receiving antennas arranged in a first direction among a plurality of receiving antennas, a maximum likelihood value extraction unit extracts the angle of arrival of a reflected wave signal in a first direction. An angle spread detection unit detects the angle spread in the first direction around the angle of arrival by using the reflected wave signal of the array. A target height estimation unit estimates the position of the target in the first direction by using the angle of arrival and the angle spread.

This document describes techniques and devices for non-line-of-sight radar-based gesture recognition. Through use of the techniques and devices described herein, users may control their devices through in-the-air gestures, even when those gestures are not within line-of-sight of their device's sensors. Thus, the techniques enable users to control their devices in many situations in which control is desired but conventional techniques do permit effective control, such as to turn the temperature down in a room when the user is obscured from a thermostat's gesture sensor, turn up the volume on a media player when the user is in a different room than the media player, or pause a television program when the user's gesture is obscured by a chair, couch, or other obstruction.

A measurement method performed at a receiving device involves sequentially receiving RF signals, each comprising a different set of at least first and second tones at differing frequencies. Complex gain responses (CGRs) for each of the first and second tones of each of the RF signals are measured. A phase offset is determined between: i) a phase of the CGR of the second tone of a first RF signal, and ii) a phase of the CGR of the first tone of a second RF signal. A coherent channel frequency (CCF) response of the second tone of the second RF signal is computed by adjusting a phase of the CGR of the second tone of the first RF signal by the phase offset. A processor executes a signal paths calculation algorithm using the CCF response of the second tone of the second RF signal to determine an angle or time of arrival of the first RF signal.

A highly accurate object identification is performed. A first feature quantity related to a relative distance and a relative speed to an object, the direction and the reflection intensity of the object, which are extracted by a first feature quantity extraction block, is made identical in time series in a data storage processing block; a second feature quantity is extracted in a second feature quantity extraction block; and a category of the object is determined by an object determination block on the basis of an attribution degree to the distribution of the second feature quantity related to a predetermined category calculated by an attribution degree calculation block.

This document describes techniques and devices for non-line-of-sight radar-based gesture recognition. Through use of the techniques and devices described herein, users may control their devices through in-the-air gestures, even when those gestures are not within line-of-sight of their device's sensors. Thus, the techniques enable users to control their devices in many situations in which control is desired but conventional techniques do permit effective control, such as to turn the temperature down in a room when the user is obscured from a thermostat's gesture sensor, turn up the volume on a media player when the user is in a different room than the media player, or pause a television program when the user's gesture is obscured by a chair, couch, or other obstruction.