Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive safety messages from a plurality of vehicles in communication with the edge server, determine an uplink frequency recommendation for transmitting safety messages from at least one vehicle of the plurality of vehicles based on at least one of a position error or a collision risk, determine a downlink frequency recommendation for transmitting safety messaging to at least one vehicle of the plurality of vehicles based on at least one of a position error or a collision risk, and transmit the frequency recommendations to the at least one vehicle.

Abstract: A sequence of images and a vehicle location associated with each of the images is received at a traffic light ROI management system. At least one traffic light is detected in each image. A ECS traffic light ROI is defined for each image. The ECS traffic light ROI encloses the detected traffic lights. A visual feature template is generated for each image. The visual feature template is based on the ECS traffic light ROI for the image. Each visual feature template is mapped to the vehicle location associated with the image to a HD map. The HD map is transmitted to an autonomous vehicle to enable the autonomous vehicle to identify a real-time traffic light ROI in a real-time image based on a match between a first visual feature template and real-time visual features of the real-time image at the vehicle location associated with the first visual feature template.

Abstract: The present disclosure relates to a method and a device for predicting ability of a temporary plugging agent to plug cracks and a storage medium, and includes the following steps: calculating a plane elastic modulus of a core through experiments, acquiring a maximum force load of a specimen, calculating rock fracture toughness through the maximum force load, manufacturing an artificial crack model and placing it in a core holder, preparing temporary plugging deflection fluid by selecting a temporary plugging agent, injecting the temporary plugging deflection fluid into the artificial crack so as to calculate apparent fracture toughness of the temporarily plugged crack, and finally calculating a fracture pressure of the temporarily plugged crack based on the calculated rock fracture toughness and the plane elastic modulus of the core. Through the above method, the present disclosure provides a standard fracture pressure calculation method.

Abstract: An infrastructure-supported perception system for connected vehicle applications includes one or more infrastructure perception sensors that capture perception data having a reduced resolution and a reduced frame rate. The reduced resolution includes a reduced number of pixels for a given frame when compared to a standard resolution and the reduced frame rate captures data at a lower rate when compared to a standard frame rate. The infrastructure-supported perception system includes one or more controllers that are part of a connected vehicle. The controllers of the connected vehicle are in wireless communication with the one or more infrastructure perception sensors and one or more servers, and the one or more servers are in wireless communication with the one or more infrastructure perception sensors. The controllers receive dynamic information regarding one or more detected objects in an environment surrounding the connected vehicle from the one or more servers.

Abstract: Disclosed in the present invention is a visual monitoring method for cross-section temperature fields and radiation characteristics of boiler furnaces by combining radiation images and spectra. Image detectors can be directly inserted into observation holes of a boiler to acquire flame image data, so that when the detection system is applied to a power station boiler, extra holes are not required to be drilled, and therefore, there is no risk that the strength of a furnace wall of the boiler is reduced by drilling holes. According to cross-section temperature fields of a furnace measured by the detection system, the state of combustion in the furnace can be accurately judged, which can play an accurate and effective guiding role in boiler combustion control, and reduce the temperature deviation in each combustion area of the boiler so as to keep the boiler running smoothly, thereby improving the combustion efficiency of the boiler.

Abstract: A method includes receiving sensor data from a plurality of sensors of a plurality of vehicles. The sensor data includes vehicle GPS data and sensed lane line data of the roadway. The method further includes creating a plurality of multi-layer bitmaps for each of the plurality of vehicles using the sensor data, fusing the plurality of the multi-layer bitmaps of each of the plurality of vehicles to create a fused multi-layer bitmap, creating a plurality of multi-layer probability density bitmaps using the fused multi-layer bitmap, extracting lane line data from the plurality of multi-layer probability density bitmaps, and creating the high-definition (HD) map of the roadway using the multi-layer probability density bitmaps and the lane line data extracted from the plurality of multi-layer probability density bitmaps.

Abstract: A semiconductor device includes a substrate, a semiconductor fin, a silicon layer, a gate structure, gate spacers, and source/drain structures. The semiconductor fin is over the substrate. The silicon layer is over the semiconductor fin. The gate structure is over the silicon layer, in which the gate structure includes an interfacial layer over the silicon layer, a gate dielectric layer over the interfacial layer, and a gate electrode over the gate dielectric layer. The gate spacers are on opposite sidewalls of the gate structure and in contact with the interfacial layer of the gate structure, in which a bottom surface of the interfacial layer is higher than bottom surfaces of the gate spacers. The source/drain structures are on opposite sides of the gate structure.

Abstract: A crowd-sourced road sign interpretation system includes one or more central computers in wireless communication with a plurality of vehicles and a network that transmits map data. The one or more central computers execute instructions to perform a statistical hypothesis test of telemetry data collected at one or more trajectory segments including a specific allowed maneuver and the presence of the one or more unidentified road signs, and the telemetry data collected at one or more trajectory segments including the specific allowed maneuver without the presence of the one or more unidentified road sign to determine a statistical impact of the presence of the one or more unidentified road signs upon the specific allowed maneuver.

Abstract: A method can be used to provide smart notifications to avoid collisions while the vehicle maneuvers in a tight structural environment, such as a home garage or an underground parking lot. The method includes receiving historical vehicle-trajectory data. The historical vehicle-trajectory data includes the location and the heading of the vehicle for each of the plurality of historical trajectories along the structure. The method further includes clustering the plurality of historical trajectories of the vehicle along the structure by types of maneuvers to generate a plurality of trajectory clusters. The method also includes creating a probability distribution bitmap using the plurality of trajectory clusters and creating a topographic map based on the probability distribution bitmap.

Abstract: A light-emitting module is provided. The light-emitting module includes a substrate and n number of light-emitting elements disposed on the substrate. The n number of light-emitting elements have n?1 number of first intervals. The n?1 number of first intervals have a first standard deviation, wherein n is greater than or equal to 3. The light-emitting module further includes a light-shielding structure which is disposed on the n number of light-emitting elements and has n number of light-emitting holes. The n number of light-emitting holes correspond to the n number of light-emitting elements, respectively, and have n?1 number of second intervals. The n?1 number of second intervals have a second standard deviation, wherein the first standard deviation is greater than the second standard deviation.

Abstract: An apparatus comprising an interface, a light projector and a processor. The interface may be configured to receive pixel data. The light projector may be configured to generate a structured light pattern. The processor may be configured to process the pixel data arranged as video frames and generate disparity and depth maps. The processor may comprise convolutional neural network hardware that may arrange reference images into a tensor, perform logical operations on one of the video frames in a depth direction of the tensor to generate a tensor of feature maps of the video frames, use a convolution to reduce an amount of calculations performed in the depth direction of the tensor of feature maps, perform convolution filtering on the tensor of the feature maps, determine an index map location, and search lookup data based on the index map location to determine the disparity and depth maps.

Abstract: An apparatus comprises an interface and a processor. The interface may be configured to receive pixel data.

Abstract: A map updating system for a vehicle includes one or more input devices. The input device generates an input signal associated with data indicative of multiple landmark points relative to multiple road semantic features. The system further includes a computer having one or more processors that receive the input signal. The computer further includes a non-transitory computer readable storage medium for storing instructions. The processor is programmed to build a local map including the road semantic features and the landmark points. The processor is further programmed to determine a radius of road curvature associated with each road semantic feature and compare the radius of road curvature to a maximum radius of curvature threshold. The processor is further programmed to transmit an update signal to a cloud server, in response the processor determining that the radius of road curvature is less than the maximum radius of curvature threshold.

Abstract: A drug product comprising a combination of highly purified collagenase I and collagenase II from Clostridium histolyticum is disclosed. The drug product includes collagenase I and collagenase II in a ratio of about 1 to 1, with a purity of greater than at least 95%. The invention further disclosed improved fermentation and purification processes for preparing the said drug product.

Abstract: A thrombectomy system includes a catheter having a proximal end and a distal end, a valve in fluid communication with the catheter, and a cutting instrument associated with the distal end of the catheter. The cutting instrument may be configured for axial and/or rotational motion. A controller of the system may be configured to detect operational parameters of the cutting instrument. The controller may determine whether the cutting instrument is engaging with occlusive material based on the detected operational parameters. The controller may operate the valve in one or more operating modes to alter a level of pressure in the catheter based on whether the cutting instrument is engaging with the occlusive material.

Abstract: A method for generating garage parking notifications includes receiving current parked-vehicle data indicating that a vehicle has been parked inside a garage. The current parked-vehicle data includes the current location of the vehicle parked inside the garage. The method further includes determining whether the current location of the vehicle inside the garage is within a warning zone. The warning zone is an area inside the garage where the vehicle has not been frequently parked. The warning zone area is determined using historical parked-vehicle data. The method further includes generating a notification to warn an operator of the vehicle that the vehicle should be moved in response to determining that the current location of the vehicle inside the garage is within the warning zone.

Abstract: Techniques are described with regard to addressing structured false positives in the context of detecting asset anomalies in a computing environment. An associated computer-implemented method includes applying an anomaly detection machine learning model to each of a plurality of assets in order to determine a plurality of anomaly assets among the plurality of assets. The plurality of anomaly assets are determined based upon a model anomaly risk score calculated for each of the plurality of assets consequent to asset event data analysis. The method further includes calculating a structured false positive score for each of the plurality of anomaly assets during a current structured false positive time window. The method further includes retraining the anomaly detection machine learning model responsive to determining that a threshold value of anomaly assets among the plurality of anomaly assets have a structured false positive score exceeding a structured false positive threshold value.

Abstract: A method for quantifying map errors includes receiving first map data and second map data. The method includes receiving a road topographic map. The method further includes dividing the road into road segments. The method further includes creating a plurality of bounding boxes for each of the plurality of road segments. The method includes creating a first map tile and a second map tile by filtering out the bounding boxes. The method includes executing point cloud registration to align the plurality of first data points in the first map tile with the plurality of second data points in the second map tile to determine a plurality of absolute offsets between the plurality of first data points and the plurality of second data points. The method includes determining a relative map error between the first map and the second map based on the absolute offsets.

Abstract: A hybrid positioning system for a vehicle includes one or more controllers in wireless communication with a plurality of surrounding vehicles located in an environment surrounding the vehicle and a cellular software defined network including an edge positioning function. The one or more controllers execute instructions to receive, from the plurality of surrounding vehicles, relative position measurements that are each indicative of a position of one of the plurality of surrounding vehicles relative to the vehicle, wherein the relative position measurements are received by the one or more controllers in real-time. The one or more controllers receive a precise global position of the vehicle and the plurality of surrounding vehicles from the edge positioning function of the cellular software defined network, and fuse together the relative position measurements and the precise global position of the vehicle to determine a precise position of the vehicle.