Methods, systems, and apparatus, including medium-encoded computer program products, for 3D flight tracking of objects includes, in at least one aspect, a method including: obtaining 2D camera image data of a golf ball; modeling a 2D trace of the golf ball using the 2D image data; obtaining radar speed data of the golf ball; modeling a speed of the golf ball using the radar speed data, wherein modeling the speed of the golf ball includes fitting a polynomial function to a first portion of the radar speed data and fitting an exponential function to a second portion of the radar speed data; combining the modelled speed of the golf ball with the modelled 2D trace of the golf ball to form a 3D trace of the golf ball; and outputting for display the 3D trace of the golf ball in 3D space.

Methods, systems, and apparatus, including medium-encoded computer program products, for 3D flight tracking of objects includes, in at least one aspect, a method including obtaining two dimensional image data of a golf ball in flight, the two dimensional image data originating from a camera; obtaining radar data of the golf ball in flight, the radar data originating from a Doppler radar device associated with the camera; interpolating the radar data to generate interpolated radar data of the golf ball in flight; and blending radial distance information derived from the interpolated radar data of the golf ball in flight with angular distance information derived from the two dimensional image data of the golf ball in flight to form three dimensional location information of the golf ball in three dimensional space.

System and method of controlling operation of a device in real-time. The system includes an optical sensor having a steerable optical field of view for obtaining image data and a radar unit having a steerable radar field of view for obtaining radar data. A controller may be configured to steer a first one of the optical sensor and the radar unit to a first region of interest and a second one of the optical sensor and the radar unit to the second region of interest. The controller may be configured to steer both the optical sensor and the radar unit to the first region of interest. The radar data and the image data are fused to obtain a target location and a target velocity. The controller is configured to control operation of the device based in part on at least one of the target location and the target velocity.

The present disclosure provides an error detector for determining an error vector between a radio trajectory and an image trajectory. The error detector includes: an input for monitoring a radio trajectory of an object from a radio signal and an image trajectory of an object from an image over an observation area; a correlation module arranged to correlate the radio trajectory with the image trajectory; an error module arranged to determine an error vector between the radio trajectory and the image trajectory; and an output arranged to transmit the error vector for use in determining an estimated trajectory of a target based on a target trajectory from a radio signal.

A wavelength division multiplexing (WDM)-based photonic radar architecture is disclosed. The WDM-based photonic radar incorporates a WDM photonic input of N component wavelengths modulated by an IF-LFM input signal and its 90-degree phased counterpart. The modulated WDM photonic signal is split one branch sent to a photodetector for generation of an RF outbound signal and transmission of the signal, which is reflected by a target and received as an RF echo signal after a time delay. The other branch has each component wavelength time-adjusted by a second time delay for each wavelength. The resulting time-delayed WDM photonic signal is modulated again based on the received RF echo signal and split into wavelength selective channels. Filters in each channel extract two adjacent photonic signals converted to RF output signals by photodetectors. RF filters select a single RF signal for processing based on the closest difference between the two time delays.

Methods, systems, and apparatus, including medium-encoded computer program products, for 3D flight tracking of objects includes, in at least one aspect, a method including obtaining two dimensional image data of a golf ball in flight, the two dimensional image data originating from a camera; obtaining radar data of the golf ball in flight, the radar data originating from a Doppler radar device associated with the camera; interpolating the radar data to generate interpolated radar data of the golf ball in flight; and blending radial distance information derived from the interpolated radar data of the golf ball in flight with angular distance information derived from the two dimensional image data of the golf ball in flight to form three dimensional location information of the golf ball in three dimensional space.

Methods and systems include, in at least one aspect: determining an optical model of an object in flight using two dimensional image data obtained from a camera, determining a radar model of the object in flight using radar data obtained from a radar device, combining the radar model with the optical model to produce three dimensional location information of the object in flight in three dimensional space, comparing the three dimensional location information of the object in flight with data representing an expected ball launch, and rejecting (or verifying) the object as an actual ball launch in response to the three dimensional location information of the object in flight differing (or not differing) from the data representing the expected ball launch by a threshold amount.

An augmented reality device has a radar system that generates radar maps of locations of real world objects. An inertial measurement unit detects measurement values such as acceleration, gravitational force and inclination ranges. The values from the measurement unit drift over time. The radar maps are processed to determine fingerprints and the fingerprints are combined with the values from the measurement unit to store a pose estimate. Pose estimates at different times are compared to determine drift of the measurement unit. A measurement unit filter is adjusted to correct for the drift.

Techniques for using optical sensing by wireless network nodes to assist with positioning of user equipment (UE) are provided. In some embodiments, such techniques may include sending first configuration information to the UE, the first configuration information indicative of how optical sensory data is to be obtained with the UE; receiving the optical sensory data from the UE; and based at least on the optical sensory data received from the UE, determining angular information regarding wireless transmissions between at least one wireless network node and the UE.

Methods, systems, and apparatus, including medium-encoded computer program products, for 3D flight tracking of objects includes, in at least one aspect, a method including obtaining two dimensional image data of a golf ball in flight, the two dimensional image data originating from a camera; obtaining radar data of the golf ball in flight, the radar data originating from a Doppler radar device associated with the camera; interpolating the radar data to generate interpolated radar data of the golf ball in flight; and blending radial distance information derived from the interpolated radar data of the golf ball in flight with angular distance information derived from the two dimensional image data of the golf ball in flight to form three dimensional location information of the golf ball in three dimensional space.