Abstract: Systems and techniques are provided for identifying and filtering edge pixels from a 3D point cloud from a time-of-flight sensor. An example method includes receiving a first depth map that is based on an image frame captured by a time-of-flight (ToF) sensor, wherein the first depth map includes a plurality of measurements corresponding to a pixel array of the ToF sensor; generating a second depth map by shifting the plurality of measurements corresponding to the pixel array in at least one direction; comparing the first depth map with the second depth map to determine a measurement difference for each pixel in the pixel array; and identifying one or more edge pixels in the pixel array corresponding to at least one edge region in the image frame, wherein the measurement difference associated with the one or more edge pixels is greater than an edge threshold.

Abstract: Systems and techniques are provided for predicting precision of time-of-flight (TOF) sensor measurements. An example process includes receiving depth data associated with a frame, the depth data being captured by a TOF camera by illuminating a modulated signal of the TOF camera and receiving a reflected signal at the TOF camera, wherein the depth data comprises a plurality of correlation samples based on the reflected signal; receiving, from the TOF camera, grayscale image data corresponding to the frame; determining a modulation amplitude of the modulated signal based on the plurality of correlation samples; determining one or more parameters associated with at least one of the depth data and the grayscale image data; and determining a reliability of the depth data based on the modulation amplitude of the modulated signal, the grayscale image data, and the one or more parameters.

Abstract: The present disclosure is directed to a detection device that avoids using frequencies that can potentially interfere with the operation of other electronic devices. An apparatus consistent with the present disclosure may use electrical signals of different frequencies to generate sensing signals that may be electromagnetic signals in the light spectra, for example, infrared signals may be used. Operational frequencies selected may include at least one frequency that is represented as an irrational number.

Abstract: Systems and techniques are provided for high dynamic range (HDR) with time-of-flight (TOF) cameras. An example method can include obtaining, from a TOF camera, correlation samples including a first set of correlation samples with a first integration time and a second set of correlation samples with a second integration time; determining that a first correlation sample from the first set of correlation samples is saturated; based on the determining that the first correlation sample is saturated, inferring that a second correlation sample from the first set of correlation samples is also saturated; replacing the first correlation sample and the second correlation sample with one or more scaled versions of one or more correlation samples from the second set of correlation samples; and generating an HDR TOF frame based on the one or more scaled versions of the one or more correlation samples and the second set of correlation samples.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for performing ground segmentation through formation of a single super voxel. Image data tracking a surface as an object moves relative to the surface is accessed. Samples of the image data is grouped into different subsets to form a plurality of subsets of the image data. A normal vector to a corresponding plane defined by each subset of the plurality of subsets of the image data are identified. The samples of the image data are re-grouped into a single subset of the image data based on the corresponding normal vector for each subset of the plurality of subsets of the image data. A surface plane representation of the surface is identified based on the single subset of the image data.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for identifying roll, pitch, and azimuth angles for an object based on surface normal vectors. Image data tracking a surface as an object moves relative to the surface can be accessed. A reference normal vector of the surface can be identified. A dynamic normal vector of the surface associated with the object moving over the surface can be identified from the image data. One or a combination of roll, pitch, and azimuth of the object with respect to the surface can be determined based on the reference normal vector and the dynamic normal vector.

Abstract: A sensor calibration evaluation system evaluates the quality of control point detection by translating a control object within a scene by a measured amount to generate a sequence of sensor views of the scene as the control object is translated by a known (measured) amount. The control points within each of the sequence of sensor views are detected with a control point detection algorithm. By detecting the control points and determining the detected movement of the control points, a correlation between the measured movement and detected movement can be determined and represent the quality of the control point detection given the set of detection conditions.