Abstract: A modular socket system with automatic power interruption includes modular socket, a detected data collection and system determination module, a power-off execution module, and a sever database. The modular socket continuously receives power-off signals, and transmits the power-off signals to the detected data collection and system determination module for the determination of power-off, and the power-off execution module executes a power-off procedure accordingly. The detected data collection and system determination module includes a detected data collecting module and a power-off determining system module connected. The detected data collecting module has an optical identifying module and a connection status determining module connected. The power-off determining system module includes an unplug detecting and determining module, a poor contact determining module, a Bluetooth offline determining module, and a hardware disconnection determining module.

Abstract: Provided herein are systems, devices, and methods for performing a medical procedure on a patient. The system comprises an ablation catheter comprising a shaft, at least one therapeutic element positioned on the shaft, and one or more tissue-contact sensing components configured to provide a contact signal related to the level of contact between the at least one therapeutic element and tissue. The system further comprises: an energy delivery unit configured to deliver ablative energy to the at least one therapeutic element to create a lesion in target tissue, and to provide an energy delivery data; a force module configured to receive the contact signal and provide contact data; and a processing unit configured to determine an ablation index based on both the energy delivery data and the contact data. The ablation index can represent the status of the lesion being created.

Abstract: The present disclosure provides for use of variants of C-type natriuretic peptide (CNP), and novel pharmaceutical compositions and formulations comprising CNP variant peptides for the treatment of skeletal dysplasias, one or more symptoms of skeletal dysplasias, such as long bone growth or growth velocity, and other disorders having a skeletal dysplasia and/or CNP-associated symptom or component.

Abstract: A sensor calibration system periodically receives scene data from a detector in a calibration scene. The calibration scene includes calibration targets. The sensor calibration system generates a calibration map based on the scene data. The calibration map is a virtual representation of the calibration scene and includes features of the calibration targets that can be used as ground truth features for calibrating AV sensors. The sensor calibration system can periodically update the calibration map. For instance, the sensor calibration system receives the scene data at a predetermined frequency and updates the calibration map every time it receives new scene data. The predetermined frequency may be a frequency of the detector completing a full scan of the calibration scene. The sensor calibration system provides a latest version of the calibration map for being used by an AV to calibrate a sensor on the AV 110.

Abstract: A lamp and epitaxial processing apparatus are described herein. In one example, the lamp includes a bulb, a filament, and a plurality of filament supports disposed in spaced-apart relation to the filament, each of the filament supports having a hook support and a hook. The hook includes a connector configured to fasten the hook to the hook support, a first vertical portion extending from the connector toward the filament, and a rounded portion extending from an end of the first vertical portion distal from the connector and configured to wrap around the filament. A second vertical portion extends from an end of the rounded portion distal from the first vertical portion and the second vertical portion has a length between 60% and 100% of the length of the first vertical portion.

Abstract: The present technology is directed to determining an accuracy of an infrared (IR) camera, and more particularly, validating a distortion accuracy of an IR camera. The present technology can receive one or more images of a calibration harp captured by the IR camera, wherein the one or more images include a plurality of lines corresponding to a plurality of strings of the calibration harp. The present technology can further determine a degree of distortion of the plurality of lines based on a distortion error coefficient, wherein the distortion error coefficient is computed based on edge points of the plurality of lines on the one or more images.

Abstract: A lamp and epitaxial processing apparatus are described herein. In one example, the lamp includes a bulb, a filament, and a plurality of filament supports disposed in spaced-apart relation to the filament, each of the filament supports having a hook support and a hook. The hook includes a connector configured to fasten the hook to the hook support, a first vertical portion extending from the connector toward the filament, and a rounded portion extending from an end of the first vertical portion distal from the connector and configured to wrap around the filament. A second vertical portion extends from an end of the rounded portion distal from the first vertical portion and the second vertical portion has a length between 60% and 100% of the length of the first vertical portion.

Abstract: A sensor calibration system periodically receives scene data from a detector in a calibration scene. The calibration scene includes calibration targets. The sensor calibration system generates a calibration map based on the scene data. The calibration map is a virtual representation of the calibration scene and includes features of the calibration targets that can be used as ground truth features for calibrating AV sensors. The sensor calibration system can periodically update the calibration map. For instance, the sensor calibration system receives the scene data at a predetermined frequency and updates the calibration map every time it receives new scene data. The predetermined frequency may be a frequency of the detector completing a full scan of the calibration scene. The sensor calibration system provides a latest version of the calibration map for being used by an AV to calibrate a sensor on the AV 110.

Abstract: The present technology is directed to determining an accuracy of an infrared (IR) camera, and more particularly, validating a distortion accuracy of an IR camera. The present technology can receive one or more images of a calibration harp captured by the IR camera, wherein the one or more images include a plurality of lines corresponding to a plurality of strings of the calibration harp. The present technology can further determine a degree of distortion of the plurality of lines based on a distortion error coefficient, wherein the distortion error coefficient is computed based on edge points of the plurality of lines on the one or more images.

Abstract: A sensor calibration system periodically receives scene data from a detector in a calibration scene. The calibration scene includes calibration targets. The sensor calibration system generates a calibration map based on the scene data. The calibration map is a virtual representation of the calibration scene and includes features of the calibration targets that can be used as ground truth features for calibrating AV sensors. The sensor calibration system can periodically update the calibration map. For instance, the sensor calibration system receives the scene data at a predetermined frequency and updates the calibration map every time it receives new scene data. The predetermined frequency may be a frequency of the detector completing a full scan of the calibration scene. The sensor calibration system provides a latest version of the calibration map for being used by an AV to calibrate a sensor on the AV 110.

Abstract: An illuminated sensor target includes a light source. Actuating the light source illuminates the sensor target. The illuminated sensor target is recognized by one or more sensors of a vehicle during a calibration process, and is used to calibrate the one or more sensors of the vehicle during the calibration process. The illuminated sensor target is illuminated during at least part of the calibration process, which may involve rotation of the vehicle about a turntable, with the illuminated sensor target positioned within a range of the turntable along with other sensors targets, which may also be illuminated.

Abstract: Apparatus and methods are provided for using a self-illuminating harp to calibrate for distortion. In particular, apparatus, methods and systems are provided for imaging and analyzing self-illuminated harp in order to correct for lens distortion. In various implementations, an array of media is strung plumb which resembles a harp. The media can be light fibers or other suitable material which can be strung in a straight line. The cores of translucent fibers are illuminated. These are configured to scatter light throughout their bulk which escapes the core by egressing along the length of fiber. This light produces plumb lines which can be imaged, analyzed and model. In some implementations, imaging is performed by rotation to include a full FOV.

Abstract: A sensor calibration system periodically receives scene data from a detector in a calibration scene. The calibration scene includes calibration targets. The sensor calibration system generates a calibration map based on the scene data. The calibration map is a virtual representation of the calibration scene and includes features of the calibration targets that can be used as ground truth features for calibrating AV sensors. The sensor calibration system can periodically update the calibration map. For instance, the sensor calibration system receives the scene data at a predetermined frequency and updates the calibration map every time it receives new scene data. The predetermined frequency may be a frequency of the detector completing a full scan of the calibration scene. The sensor calibration system provides a latest version of the calibration map for being used by an AV to calibrate a sensor on the AV 110.

Abstract: Apparatus and methods are provided for using a retroflected target for calibrating environmental geometric sensing systems. In particular, apparatus and methods are provided for unstructured calibrations using a plurality of spatial sensing data acquisitions and the data correlations thereof. In various implementations, a combined LiDAR-RADAR detector is used to associate one with the other. According to one aspect of the present disclosure, a predetermined LiDAR detector is used as a reference frame for RADAR segmentation. Specifically, a LiDAR point-of-interest is conveyed to RADAR system for unstructured calibration. To that end, RADAR and LiDAR can be calibrated with one another without the need for absolute positioning.

Abstract: A sensor calibration system periodically receives scene data from a detector in a calibration scene. The calibration scene includes calibration targets. The sensor calibration system generates a calibration map based on the scene data. The calibration map is a virtual representation of the calibration scene and includes features of the calibration targets that can be used as ground truth features for calibrating AV sensors. The sensor calibration system can periodically update the calibration map. For instance, the sensor calibration system receives the scene data at a predetermined frequency and updates the calibration map every time it receives new scene data. The predetermined frequency may be a frequency of the detector completing a full scan of the calibration scene. The sensor calibration system provides a latest version of the calibration map for being used by an AV to calibrate a sensor on the AV 110.

Abstract: To calibrate a set of sensors with respect to one another, such as the respective position and orientation of the sensors, a sensor calibration system uses a well-measured calibration scene in which the objects within the calibration scene have established positions, and optionally orientations (e.g., rotational directions), within the calibration scene and with respect to one another. The calibration scene is captured by a set of sensors to generate respective sensor views of the scene. Each sensor view is analyzed to detect control objects (e.g., features thereof) with respect to the coordinates of each sensor view. Using the known relationship of the calibration objects within the calibration scene, the sensors are calibrated to determine calibration parameters for a joint coordinate system that the maps the detected positions in the sensor view with the relative positions of the measured calibration scene.

Abstract: The present technology is directed to determining an accuracy of an infrared (IR) camera, and more particularly, validating a distortion accuracy of an IR camera. The present technology can receive one or more images of a calibration harp captured by the IR camera, wherein the one or more images include a plurality of lines corresponding to a plurality of strings of the calibration harp. The present technology can further determine a degree of distortion of the plurality of lines based on a distortion error coefficient, wherein the distortion error coefficient is computed based on edge points of the plurality of lines on the one or more images.

Abstract: A computer-implemented method includes receiving, by a computing system, a first image of an optical target from a camera. The first image is associated with a first position of the camera. The method also includes receiving, by the computing system, a second image of the optical target, Wherein the second image is associated with a second position of the camera. The method also includes determining an estimated displacement between the first position of the camera and the second position of the camera based on the first image and the second image. The method further includes determining a focal length based on the estimated displacement and a measured displacement of the camera between the first position and the second position.

Abstract: An illuminated sensor target includes a light source. Actuating the light source illuminates the sensor target. The illuminated sensor target is recognized by one or more sensors of a vehicle during a calibration process, and is used to calibrate the one or more sensors of the vehicle during the calibration process. The illuminated sensor target is illuminated during at least part of the calibration process, which may involve rotation of the vehicle about a turntable, with the illuminated sensor target positioned within a range of the turntable along with other sensors targets, which may also be illuminated.

Abstract: A computer-implemented method for focal length validation may include receiving, by a computing system, initial image data for an optical target from a camera. The method may also include determining a distortion parameter associated with the camera, based on the initial image data. The method may also include receiving, by the computing system, a first image of the optical target, wherein the first image is associated with a first position of the camera. The method may also include receiving, by the computing system, a second image of the optical target, wherein the second image is associated with a second position of the camera. The method may also include determining an estimated displacement between the first position of the camera and the second position of the camera based on the first image and the second image. The method may further include determining a focal length based on the estimated displacement and a measured displacement of the camera between the first position and the second position.