Patent classifications
G01S13/52
VEHICLE RADAR SYSTEM AND TARGET DETECTION
A method for detecting a moving target through a vehicle radar system includes acquiring radar data from a radar sensor disposed with respect to a vehicle, and using the radar data to detect a plane of a structure. The method also includes setting a reference classification line based on the detected plane, and determining whether the moving target is in a line of sight (LOS) area or a non-line of sight (NLOS) area based on the reference classification line.
VEHICLE RADAR SYSTEM AND TARGET DETECTION
A method for detecting a moving target through a vehicle radar system includes acquiring radar data from a radar sensor disposed with respect to a vehicle, and using the radar data to detect a plane of a structure. The method also includes setting a reference classification line based on the detected plane, and determining whether the moving target is in a line of sight (LOS) area or a non-line of sight (NLOS) area based on the reference classification line.
METHOD FOR DETECTING A TRAFFIC CONGESTION SITUATION IN A MOTOR VEHICLE
Method for detecting traffic congestion using a motor vehicle radar system, comprising multi-beam radar sensors (21-24) in the rear and front corners of the vehicle, the method comprising the steps of: dividing the radar sensors (Df_l, Df_r, Dr_l, Dr_r) into four angular sectors (Zfront, Zrear, Zleft, Zright) extending to the front, to the rear, to the right and to the left of the vehicle respectively, selecting for each angular sector, from the beams for which no target is detected, the (Dfront, Drear, Dleft, Dright) beam having the shortest reach distance, detecting the amplitude of reflected beams corresponding respectively to the selected beams, and—analysing the period during which the amplitude of the reflected beams is maintained relative to a predefined time threshold for each angular sector respectively, the method detecting a traffic congestion situation when the analysing step determines simultaneously for the four angular sectors that the period during which the amplitude of the reflected beams is maintained is greater than or equal to the predefined time threshold.
METHOD FOR DETECTING A TRAFFIC CONGESTION SITUATION IN A MOTOR VEHICLE
Method for detecting traffic congestion using a motor vehicle radar system, comprising multi-beam radar sensors (21-24) in the rear and front corners of the vehicle, the method comprising the steps of: dividing the radar sensors (Df_l, Df_r, Dr_l, Dr_r) into four angular sectors (Zfront, Zrear, Zleft, Zright) extending to the front, to the rear, to the right and to the left of the vehicle respectively, selecting for each angular sector, from the beams for which no target is detected, the (Dfront, Drear, Dleft, Dright) beam having the shortest reach distance, detecting the amplitude of reflected beams corresponding respectively to the selected beams, and—analysing the period during which the amplitude of the reflected beams is maintained relative to a predefined time threshold for each angular sector respectively, the method detecting a traffic congestion situation when the analysing step determines simultaneously for the four angular sectors that the period during which the amplitude of the reflected beams is maintained is greater than or equal to the predefined time threshold.
RADAR DEVICE AND METHOD FOR DETERMINING TARGETS TO BE FOLLOWED
A radar device that detects one or more information elements, groups the one or more information elements into one or more first groups in each frame, the one or more first groups including information on one or more first objects of which Doppler speeds fall within a determined range, groups the one or more information elements into one or more second groups in each frame, the one or more second groups including information on one or more second objects of which Doppler speeds fall outside the determined range calculates first positions in m-th frame, of positions of groups to be followed of the first groups and the second groups in n-th frame and extracts the groups to be followed in the m-th frame from the first groups and the second groups in the m-th frame using the first positions.
OBJECT DETECTION DEVICE, RADAR DEVICE, AND OBJECT DETECTION METHOD
An object detection device includes processing circuitry configured to acquire wave data; acquire the moving velocity of a radar device; estimate a relative distance between the radar device and a target, angle of incidence of a reflection signal from the target, and a first relative velocity between the radar device and the target, by using the wave data; and estimate a second relative velocity between the radar device and the target in a case where the target is a static object, on the basis of the acquired moving velocity and the relative distance and the angle of incidence, and determine whether the target is a static object by comparing the first relative velocity and the second relative velocity.
OBJECT DETECTION DEVICE, RADAR DEVICE, AND OBJECT DETECTION METHOD
An object detection device includes processing circuitry configured to acquire wave data; acquire the moving velocity of a radar device; estimate a relative distance between the radar device and a target, angle of incidence of a reflection signal from the target, and a first relative velocity between the radar device and the target, by using the wave data; and estimate a second relative velocity between the radar device and the target in a case where the target is a static object, on the basis of the acquired moving velocity and the relative distance and the angle of incidence, and determine whether the target is a static object by comparing the first relative velocity and the second relative velocity.
Real-time and dynamic localization using active doppler sensing systems for vehicles
Provided herein is a system on a vehicle, the system comprising an active Doppler sensor; one or more processors; and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: obtaining a Doppler signature from each of one or more entities; and determining one or more calibration parameters of the active Doppler sensor based on the Doppler signature from at least a portion of the one or more entities.
Real-time and dynamic localization using active doppler sensing systems for vehicles
Provided herein is a system on a vehicle, the system comprising an active Doppler sensor; one or more processors; and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: obtaining a Doppler signature from each of one or more entities; and determining one or more calibration parameters of the active Doppler sensor based on the Doppler signature from at least a portion of the one or more entities.
Motion detection device
A motion detection device is provided. The motion detection device includes a first antenna, a voltage-controlled oscillator, a phase detector and a signal processing unit. The first antenna receives a first signal generated by a second signal reflected by a target object, so as to output the first signal to the phase detector or the voltage-controlled oscillator. The voltage-controlled oscillator receives first signal or the second signal and receives a frequency adjustment signal, so as to generate an oscillating signal according to the frequency adjustment signal and the one of the first signal and the second signal. The phase detector receives the oscillating signal and another one of the first signal and the second signal, and generates a first phase output signal and a second phase output signal. The signal processing unit estimates motion parameters of the target object according to the first and the second phase output signal.