The position detecting apparatus repeatedly acquires, from a radar apparatus, object information including at least an object distance as a distance between the radar apparatus and a reflecting object and a relative speed between the radar apparatus and a reflecting object. The position detecting apparatus calculates a speed ratio as a ratio between the relative speed and the travelling speed. The position detecting apparatus calculates, based on the speed ratio, a projection distance between a projected position of the reflecting object projected onto a projection plane and a position of the radar apparatus on the projection plane, the projection plane having a predetermined angle with respect to a center axis indicating a direction along which the radar waves are transmitted by the radar apparatus and including the radar apparatus. The position detection apparatus calculates the position of the reflecting object based on the calculated projection distance.

A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Methods and systems for estimating vehicle velocity based on radar data. The methods and systems include receiving a set of range-Doppler-beam, RDB, maps from radars located on a vehicle and performing an optimization process that adjusts an estimate of vehicle velocity so as to optimize a correlation score. The optimization process includes iteratively: spatially registering the set of RDB maps based on the current estimate of vehicle velocity, determining the correlation score based on the spatially registered set of RDB maps, and outputting an optimized estimate of vehicle velocity from the optimization process when the correlation score has been optimized. The methods and systems control the vehicle based at least in part on the optimized estimate of vehicle velocity.

Techniques for accurately determining a velocity of a radar (or ultrasonic, sonar) device and/or a moveable platform associated with the radar device may comprise fitting a model to a set of Doppler values received from the device, and determining the velocity based at least in part on the model. Fitting the model to the set may comprise determining a residual between an estimated Doppler value generated by the model and a measured Doppler value and altering a parameter of the model based at least in part on an asymmetrical loss function and the residual. The asymmetrical loss function may comprise a first portion that comprises a square of the residual and a second portion that is linearly proportional to the residual. The second portion may be based at least in part on an estimated velocity and/or estimated Doppler value and may account for out-of-plane returns.

An electronic device includes a transmission antenna that transmits a transmission wave, a reception antenna that receives a reflected wave that is the transmission wave having been reflected, and a control unit that detects a target by using a constant false alarm rate on the basis of a transmission signal transmitted as the transmission wave and a reception signal received as the reflected wave. The control unit performs control to skip processing of detecting an object determined to be a stationary object among objects located around the electronic device, as the target by using the constant false alarm rate on the basis of the transmission signal and the reception signal.

An apparatus for determining a speed of a vehicle, in which the vehicle includes one or more sensors to determine a distance to or a relative speed of an object in an environment of the vehicle, and in which the apparatus includes a data interface and a processing module. The data interface is configured to receive sensor data from the one or more sensors, where the sensor data indicates the distance to and/or the relative speed of the object. The processing module is configured to determine (i) a motion state of the object based on the received sensor data, and (ii) the speed of the vehicle based on the determined motion state and the received sensor data.

An apparatus for determining a speed of a vehicle, in which the vehicle includes one or more sensors to determine a distance to or a relative speed of an object in an environment of the vehicle, and in which the apparatus includes a data interface and a processing module. The data interface is configured to receive sensor data from the one or more sensors, where the sensor data indicates the distance to and/or the relative speed of the object. The processing module is configured to determine (i) a motion state of the object based on the received sensor data, and (ii) the speed of the vehicle based on the determined motion state and the received sensor data.

A method is provided for operating a radar system of a vehicle. The radar system has at least one radar sensor for detecting at least one target outside the vehicle. A prediction of an ego-velocity (vEgo) of the vehicle is performed, so that a prediction result is determined. A classification for classifying the at least one detected target as a stationary target is then performed using the prediction result, so that a classification result is determined. One of at least two estimation methods is then selected for an estimation of the ego-velocity (vEgo), such that the selection is dependent on an evaluation of the classification result.

A method is provided for operating a radar system of a vehicle. The radar system has at least one radar sensor for detecting at least one target outside the vehicle. A prediction of an ego-velocity (vEgo) of the vehicle is performed, so that a prediction result is determined. A classification for classifying the at least one detected target as a stationary target is then performed using the prediction result, so that a classification result is determined. One of at least two estimation methods is then selected for an estimation of the ego-velocity (vEgo), such that the selection is dependent on an evaluation of the classification result.