Abstract: Described herein are systems, methods, and non-transitory computer readable media for performing an alignment between a first vehicle sensor and a second vehicle sensor. Two-dimensional (2D) data indicative of a scene within an environment being traversed by a vehicle is captured by the first vehicle sensor such as a camera or a collection of multiple cameras within a sensor assembly. A three-dimensional (3D) representation of the scene is constructed using the 2D data. 3D point cloud data also indicative of the scene is captured by the second vehicle sensor, which may be a LiDAR. A 3D point cloud representation of the scene is constructed based on the 3D point cloud data. A rigid transformation is determined between the 3D representation of the scene and the 3D point cloud representation of the scene and the alignment between the sensors is performed based at least in part on the determined rigid transformation.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to obtain velocity lidar point cloud data acquired with a frequency modulated continuous wave (FMCW) lidar sensor, wherein the velocity lidar point cloud data includes a speed with which a data point is moving with respect to the FMCW lidar sensor, filter the velocity lidar point cloud data to select static velocity data points, wherein the static velocity data points are velocity data points each correspond to a point on a roadway around a vehicle. The instructions can include further instructions to determine FMCW lidar sensor accelerations in six degrees of freedom based on the static velocity lidar data points and determine FMCW lidar sensor rotations and translations in six degrees of freedom based on the FMCW lidar sensor accelerations in six degrees of freedom.

Abstract: The present invention relates to a method for determining the logarithmic reduction value LRV of a size-exclusion filter for a particle of a process solution, which particle is to be clarified, the size-exclusion filter being protected from a blocking adsorbing species present in the process solution by a process adsorber which is connected upstream in series.

Abstract: A method may include obtaining first sensor data from a first sensor system and second sensor data from a second sensor system. The first and the second sensor systems may capture sensor data from a total measurable world. The method may include identifying a first object included in the first sensor data and a second object included in the second sensor data and determining first parameters corresponding to the first object and second parameters corresponding to the second object. The first parameters may be compared with the second parameters and whether the first object and the second object are a same object may be determined based on the comparing the first parameters and the second parameters. Responsive to determining that the first object and the second object are the same object, a set of objects representative of objects in the total measurable world including the same object may be generated.

Abstract: A free space detection apparatus for a vehicle is provided to detect a free space based on a lidar sensor and recognize a driving environment. The apparatus includes a point data processor that removes noise of point data acquired from the LIDAR sensor and derives a half line with respect to an obstacle point from which noise has been removed based on coordinates of the obstacle point. A map processor generates a map for space classification, checks whether the obstacle point or the half line with respect to the obstacle point is present in a cell of the map and determines cell states of the map. A free space detector detects a free space based on the cell states of the map.

Abstract: The present disclosure relates to a mapping system adapted for detecting objects in an environmental scene, by scanning an environmental scene with propagating energy, and receiving reflected energy back from objects present in the environmental scene, in a prioritized manner, for later use. The system may comprise an imaging subsystem which includes a detection and ranging subsystem for initially identifying primitive objects in the environmental scene. The imaging subsystem may also include an identification and mapping subsystem for prioritizing the primitive objects for further scanning and analysis, to ultimately identify one or more of the primitive objects as one or more abstract objects. An environmental model, updated in real time, is used to maintain a map of the primitive objects and the known abstract objects within the environmental scene, as new primitive objects and new abstract objects are obtained with repeated scans of the environmental scene.

Abstract: A damage diagnosis device is provided with: a detection unit for detecting that, immediately after a vehicle crossing a bridge has exited from the bridge, another vehicle is not crossing the bridge; a determination unit for determining whether the weight of the vehicle satisfies a criterion; and a diagnosis unit that, when the detection unit has detected that no other vehicle is crossing the bridge and the determination unit has determined that the weight of the vehicle satisfies the criterion, diagnoses damage to the bridge on the basis of information representing free vibration generated in the bridge due to the crossing of the vehicle, thereby improving the precision of diagnosis when damage to a bridge is diagnosed on the basis of information representing free vibration generated in the bridge due to the crossing of a vehicle.

Abstract: LIDAR systems are less accurate in the presence of background light which can saturate the sensors in the LIDAR system. The embodiments herein describe a LIDAR system with a shutter synchronized to a laser source. During a first time period, the laser source is synched with the shutter so that the reflections are received when the shutter is in the process of changing between on and off states, during which time a function of the shutter (e.g., a phase retardation or opacity) monotonically changes so that reflections received at different times have different time-dependent characteristics (e.g., different polarizations). To mitigate the effects of background light, during a second time period, the laser source is synched with the shutter so that the background light is measured (in the absence of the reflections) which can be used to remove the effects of the background light from a range measurement.

Abstract: The present invention relates to a quick quantitative analysis method and analyzer for mixture concentration information. A quick quantitative analysis method for a mixture based on spectral information includes: collecting a sample of a mixture solution, and injecting into a DAD to obtain DAD data; then, calculating a spectral library by a quick qualitative analysis method based on a vector error algorithm to obtain a spectral error vector; determining a spectral curve of a component included in the data corresponding to the sample, according to a value of the error vector; and calculating a content flag value of each component in the sample and concentration information of each substance.

Abstract: Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.

Abstract: Systems, methods and computer-readable media are provided for identifying organisms for production. The identification is based upon determining one or more outlier detection parameters for identifying outliers (e.g., outlier wells, strains, plates holding organisms) from a data set of organism performance metrics. A prediction engine may identify one or more candidate outliers based upon a first set of outlier detection parameters (e.g., outlier detection threshold), and determine probability metrics that represent likelihoods that candidate outliers belong to an outlier class. Based on those metrics, some of the outliers may be excluded from consideration in predicting organism performance for the purpose of selecting organisms for production.

Abstract: A substrate processing system includes: an acquiring unit configured to acquire process data of each step when each step included in a predetermined process is executed under different control conditions; an extracting unit configured to divide each step into a first section in which the process data fluctuates and a second section in which the process data is converged, and extract first data belonging to the first section and second data belonging to the second section from the process data; and a monitoring unit configured to monitor the process data by comparing one or both of an evaluation value that evaluates the first data and an evaluation value that evaluates the second data with corresponding upper and lower limit values.

Abstract: A device may obtain a master beta coefficient of a master calibration model associated with a master instrument. The master beta coefficient may be at a grid of a target instrument. The device may perform constrained optimization of an objective function, in accordance with a set of constraints, in order to determine a pair of transferred beta coefficients. The constrained optimization may be performed based on an initial pair of transferred beta coefficients, the master beta coefficient, and spectra associated with a scouting set. The device may determine, based on the pair of transferred beta coefficients, a transferred beta coefficient. The device may determine a final transferred beta coefficient based on a set of transferred beta coefficients including the transferred beta coefficient. The final transferred beta coefficient may be associated with generating a transferred calibration model, corresponding to the master calibration model, for use by the target instrument.

Abstract: An actuation location for actuation of a first source coupled to a first marine survey vessel relative to a position of a second marine survey vessel towing a receiver to enhance illumination of a subsurface location can be determined based on a survey route of the second marine survey vessel and a priori data of the subsurface location. The first marine survey vessel can be navigated along a survey route of the first marine survey vessel to the actuation location during a marine survey by changing at least a cross-line position or an in-line position of the first marine survey vessel relative to the survey route of the second marine survey vessel.

Abstract: Depth-sensing apparatus includes a laser, which emits pulses of optical radiation toward a scene. One or more detectors receive the optical radiation that is reflected from points in the scene and to output signals indicative of respective times of arrival of the received radiation. A scanner scans the pulses of optical radiation across the scene along successive parallel scan lines of a raster. Control and processing circuitry drives the laser to emit a succession of output sequences of the pulses with different, respective temporal spacings between the pulses within the output sequences in the succession, and matches the times of arrival of the signals due to the optical radiation reflected from the points in at least two adjacent scan lines in the raster to the temporal spacings of the output sequences in order to find respective times of flight for the points in the scene.

Abstract: A specimen processing system 100 which performs preprocessing and analysis of a specimen includes sensors 5a, 5b, . . . each detecting a driving state of a driving device installed in the system, an abnormality detecting part 3a determining from signal waveforms detected by the sensors 5a, 5b, . . . whether an abnormality occurs in the driving device, and a recording device sequentially recording the signal waveforms detected by the sensors 5a, 5b, . . . and storing a sensor signal waveform before or after the occurrence of an operation abnormality into an unerasable area when the abnormality is determined to have occurred in the abnormality detection part 3a. Consequently, there is provided a specimen processing system capable of realizing restoration from the time of the occurrence of an abnormality faster than in the past.

Abstract: A method for actively calculating and monitoring the oil debris monitor phase angle includes sensing a noise from an in-line oil debris monitor sensor in an oil flow path, generating a polar plot of an I and Q channel data from only the noise. Linear regression of noise is then utilized from the I and Q channel data for calculating a slope of regression form the linear regression and converting the slope to a phase angle.

Abstract: A distance measuring device includes a pulsed laser source, a light receiving unit and a computing module. The pulsed laser source emits a laser pulse to a target in accordance with a predetermined period. The light receiving unit has a photon receiving type of light receiving element that receives incident light and outputs a binary pulse, and the binary pulse is used to indicate whether a photon receiving event occurs. The computing module is configured to receive the binary pulse and determine whether an inter-period coincidence event occurs, and the inter-period coincidence event is defined by detecting a plurality of photon receiving events exceeding a predetermined count, on relative positions in a predetermined period number of the predetermined periods. If the calculation module determines that the inter-period coincidence event occurs, a distance of the target is calculated according to time information related to the inter-period coincidence event.

Abstract: An automatic robot control system and methods relating thereto are described. These systems include components such as a touch screen panel (“TSP”) robot controller for controlling a TSP robot, a camera robot controller for controlling a camera robot and an audio robot controller for controlling an audio robot. The TSP robot operates inside a TSP testing subsystem, the camera robot operates inside a camera testing subsystem, and the audio robot operates inside an audio testing subsystem. Inside the audio testing subsystem, an audio signals measurement system, using a bi-directional coupling, controls the operation of the audio robot controller. In this control scheme, a test application controller is designed to control the different types of subsystem robots. Methods relating to TSP, camera, and audio robots, and their controllers, taken individually or in combination, for automatic testing of device functionalities are also described.

Abstract: A LIDAR-based method of determining an absolute speed of an object at a relatively longer distance from an ego vehicle, including: estimating a self speed of the ego vehicle using a first frame t-1 and a second frame t obtained from a LIDAR sensor by estimating an intervening rotation ? about a z axis and translation in orthogonal x and y directions using a deep learning algorithm over a relatively closer distance range; dividing each of the first frame t-1 and the second frame t into multiple adjacent input ranges and estimating a relative speed of the object at the relatively longer distance by subsequently processing each frame using a network, with each input range processed using a corresponding convolutional neural network; and combining the estimation of the estimating the self speed with the estimation of the estimating the relative speed to obtain an estimation of the absolute speed.