A method is provided for estimating a velocity of an object located in the environment of a vehicle. Detections of a range, an azimuth angle and a range rate of the object are acquired for at least two different points in time via a sensor. A cost function is generated which depends on a first source and a second source. The first source is based on a range rate velocity profile which depends on the range rate and the azimuth angle, and the first source depends on an estimated accuracy for the first source. The second source is based on a position difference which depends on the range and the azimuth angle for the at least two different points in time, and the second source depends on an estimated accuracy for the second source. By minimizing the cost function, a velocity estimate is determined for the object.

In an embodiment, a method includes: obtaining one or more positional time spectrograms of a radar measurement of a scene comprising an object; and based on the one or more positional time spectrograms and based on a feature embedding of a variational auto-encoder neural network, predicting a gesture class of a gesture performed by the object.

The present disclosure relates to a method, a system, a device and a storage medium for non-contact velocity estimation of a moving target. The method comprises the following steps: acquiring channel state information or other information that includes motion information of a moving target through at least two receiving devices, eliminating a random phase offset of the channel state information or other information to acquire newly constructed signals, and performing a denoising and filtering process on the newly constructed signals; identifying a motion state of the target according to the newly constructed signals, and dynamically selecting two optimal receiving devices if the target is moving; respectively extracting a Doppler frequency shift caused by the motion of the target from the two selected optimal receiving devices, and calculating a velocity of the moving target according to the Doppler frequency shifts.

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.

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.

A single beam frequency modulated continuous wave radar for clear air scatter (CAS) detection and method of monitoring clear air scatterers are provided. CAS monitoring capabilities, including the ability to estimate wind velocity and direction, are obtained using data from a single defined width beam of energy that instead of being averaged is sampled at discrete time steps over a range of altitudes.

A radar module determines a two-dimensional velocity vector of a heavy-duty vehicle with respect to a ground plane supporting the vehicle. The system has a radar transceiver arranged to transmit and to receive a radar signal, via an antenna array, wherein the antenna array is configured to emit the radar signal in a first direction and in a second direction different from the first direction. The radar module has a processing device to detect first and second radar signal components of the received radar signal based on their respective angle of arrival, AoA, where the first radar signal component has an AoA corresponding to the first direction and the second radar signal component has an AoA corresponding to the second direction. The processing device determines the two-dimensional velocity vector of the heavy-duty vehicle based on respective Doppler frequencies of the first and second radar signal components.

There is provided a radar device including: a transmitter including a first antenna which, in operation, transmits a radar signal; a receiver including a second antenna which, in operation, receives an echo signal that is the radar signal reflected from an object; a stationary object boundary detector which, in operation, detects a boundary of a first region in which a stationary object exists by using the echo signal; and a stationary object boundary variations detector which, in operation, detects a second region in which temporal changes are observed in the boundary of the first region and detects a third region that is the region moving in a cross-range direction, as a first moving object.

A method of determining an uncertainty estimate of an estimated velocity of an object includes, determining the uncertainty with respect to a first estimated coefficient and a second estimated coefficient of the velocity profile equation of the object. The first estimated coefficient being assigned to a first spatial dimension of the estimated velocity and the second estimated coefficient being assigned to a second spatial dimension of the estimated velocity. The velocity profile equation represents the estimated velocity in dependence of the first estimated coefficient and the second estimated coefficient. The method also includes determining the uncertainty with respect to an angular velocity of the object, a first coordinate of the object in the second spatial dimension, and a second coordinate of the object in the first spatial dimension.

Disclosed are methods and systems for providing millimeter wave assisted vehicle navigation. A method may include generating a frequency-modulated continuous wave (FMCW) signal, transmitting the FMCW signal as radio waves by a plurality of radar transmitters each having a beam direction, receiving reflected radio signals by a corresponding plurality of receivers, and determining individual beam velocities of the vehicle in each of the beam directions. The method may further include combining the individual beam velocities; generating a body velocity vector based on the combined individual beam velocities; combining input from the radar signal processor and a previous known vehicle position; and based on the combined input, providing real-time position and velocity information for the vehicle.