Abstract:
In an embodiment, a method for processing a sequence of images is provided. The method receives a sequence of images generated by a radar. Each image includes a plurality of pixels. Each pixel includes radial velocity information. The method estimates optical flow for the pixels within an image in the sequence of images by using the radial velocity information for the pixels as a constraint.
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 apparatus are provided for controlling a beam pattern of a sensor array. The apparatus includes a plurality of sensors, wherein a distance is defined between at least two of the sensors. A shape memory alloy (“SMA”) is coupled to at least one of the sensors. The SMA is controllably deformable to vary the distance between the sensors.
Abstract:
A method of detecting curb-like barriers along a route of travel using a lidar sensing system. Sparse measurement per each ray tracing is captured from a sensor using the lidar sensing system. Each ray tracing is analyzed separately by a processor. Curb candidates are identified for each respective beam. Curb candidates are combined to generate multiple curb representative hypotheses. A weighting factor is applied to each curb hypothesis. Curb hypothesis that represents the curb is selected. The curb detection is applied to an autonomous guidance system related to guiding a vehicle along the route of travel.
Abstract:
In an embodiment, a method for processing a sequence of images is provided. The method receives a sequence of images generated by a radar. Each image includes a plurality of pixels. Each pixel includes radial velocity information. The method estimates optical flow for the pixels within an image in the sequence of images by using the radial velocity information for the pixels as a constraint.
Abstract:
A method for processing a sequence of images is provided. The method receives a sequence of images. Each image includes a plurality of pixels. The pixels include radial velocity information. The method compresses the sequence of images based on the radial velocity information. The method stores the compressed sequence of images in a storage device.
Abstract:
In an embodiment, a method for processing an image is provided. The method receives an image including a plurality of pixels. Each pixel includes radial velocity information. The method categorizes the plurality of pixels of the image into a plurality of groups of pixels based on radial velocity information of the pixels. The method associates at least one of the groups of pixels with an object.