Abstract:
Methods and systems are provided for object classification for a radar system of a vehicle. The radar system includes a transmitter that transmits radar signals and a receiver that receives return radar signals after the transmitted radar signals are deflected from an object proximate the vehicle. A processor is coupled the receiver, and is configured to: obtain spectrogram data from a plurality of spectrograms pertaining to the object based on the received radar signals; aggregate the spectrogram data from each of the plurality of spectrograms into a computer vision model; and classify the object based on the aggregation of the spectrogram data from each of the plurality of spectrograms into the computer vision model.
Abstract:
A detection system to detect an object and a method of performing detection of an object are described. The system includes a radar system to transmit radiation and receive resulting reflections, the object being a distributed radar target reflecting multi-point reflections. The system also includes an auxiliary sensor to estimate one or more parameters of the object, and a processor to estimate a probability density function based on estimates of the one or more parameters of the object and the multi-point reflections and to detect the object based on the probability density function.
Abstract:
Methods and systems are provided for active noise control in a vehicle. The system includes a position sensor for sensing an occupant position. A microphone receives audible noise and generates an error signal corresponding to the audible noise. A first controller is configured to receive the error signal from the microphone and generate a modified error signal by modifying the error signal based on the occupant position with respect to the microphone. A second controller is in communication with the first controller and configured to generate an anti-noise signal based at least in part on the modified error signal. The system also includes a loudspeaker in communication with the second controller for receiving the anti-noise signal from the second controller and producing sound corresponding to the anti-noise signal to negate at least some of the audible noise.
Abstract:
A method for using Synthetic Aperture Radar (SAR) to perform a maneuver in a land vehicle is provided. The method includes: receiving digitized radar return data from a radar transmission from a SAR onboard the vehicle; accumulating a plurality of frames of the digitized radar return data; applying a RADON transform to the accumulated plurality of frames of the digitized radar return data and odometry data from the vehicle to generate transformed frames of data for each three-dimensional point, wherein the RADON transform is configured to perform coherent integration for each three-dimensional point, project a radar trajectory onto each three-dimensional point, and project Doppler information onto each three-dimensional point; generating a two-dimensional map of an area covered by the radar transmission from the SAR based on the transformed frames of data for each three-dimensional point; and performing a maneuver with the land vehicle by applying the generated two-dimensional map.
Abstract:
Systems and methods involve detecting objects using a radar system of a vehicle. Tracks of the objects are initiated in a track database. The tracks store data, respectively, for the objects and are updated based on additional detections of the objects. The tracks of the objects are initially unclassified tracks. Two tracks corresponding to two of the objects are selected as a candidate pair. Criteria are applied to the candidate pair to determine whether one track is of a ghost object and another track is of a true object corresponding with the ghost object. The ghost object represents detection of the true object in an incorrect location. The candidate pair is classified as tracks of a true object and ghost object pair based on determining that the one track is of the ghost object and the other track is of the true object corresponding with the ghost object.
Abstract:
Embodiments include methods, systems and computer readable storage medium for a method for determining a fine direction of arrival (DOA) for a target is disclosed. The method includes receiving, by a plurality of receivers of a radar system, radar signals reflected by a target. The method further includes mitigating, by the radar system, phase shifts in the radar signals caused by a motion of the target. The method further includes determining, by the radar system, the fine DOA in response to the mitigation of phase shifts and based on the radar signals. The method further includes estimating and storing, by the radar system, a Doppler frequency based on the fine DOA.
Abstract:
Systems and methods to perform sensor fusion with a depth imager and a radar system involve transmitting radio frequency (RF) energy from the radar system to a region and simultaneously emitting light to the region using a light source, Reflected light is received at a depth imager aligned with the light source, and RF reflections are received at the radar system. The reflected light is processed to obtain azimuth, elevation, range, variance in range, and reflectivity to each pixel that makes up the region. Processing the RF reflections provides azimuth, elevation, range, variance in range, velocity, and variance in velocity to a subset of the pixels representing a region of interest. Performing the sensor fusion includes using the azimuth, the elevation, the variance in range, and the reflectivity resulting from the depth imager and the range, the velocity, and the variance in velocity resulting from the radar system.
Abstract:
A method and system include transmitting transmit signals from a radar system. The transmit signals are linear frequency modulated continuous wave signals. The method includes receiving reflected signals at the radar system based on reflection of at least at subset of the transmit signals by one or more objects. A range from the radar system associated with each of the reflected signals corresponds with a frequency of the reflected signal. The reflected signals are processed to identify and locate the one or more objects. Processing includes applying an adaptive range-selective gain control (ARSGC) to control a gain corresponding with each of the reflected signals based on the range associated with the reflected signal.
Abstract:
A radar system for use in a vehicle may include a radar transmitter structured to transmit a radar signal having a waveform; and a controller operably connected to the radar transmitter and configured to control the waveform. The waveform may be characterized by a waveform parameter. The controller may be configured to set a value of the waveform parameter based on a present operational state of the vehicle, thereby generating an updated waveform. The radar transmitter may be structured to transmit an updated radar signal having the updated waveform.
Abstract:
The present application relates to a method and apparatus for implementing a radar array including a gate bias source for providing a first variable voltage, a back gate well control for providing a second variable voltage, and a field effect transistor having a drain, a source, a gate and a back gate well control, the field effect transistor being further configured to couple an alternating current radar signal between the drain and the source and to adjust a phase of the alternating current radar in response to first variable voltage applied to the gate and the second variable voltage applied to the back gate well control.