Abstract: Disclosed herein are systems and methods for predicting collision risk associated with a roadway intersection. The methods may comprise operating at least one processor to: receive map data and telematics data originating from telematics devices installed in a plurality of vehicles; identify, using the map data, one or more roadway intersections; determine, using the telematics data and/or map data, for each of the one or more roadway intersections, one or more roadway intersection metrics thereof; determine a hazard rating for each roadway of each roadway intersection; and generate a collision probability for each roadway intersection by inputting into a machine learning model the one or more roadway intersection metrics and the hazard rating of each roadway thereof, the collision probability representing a risk of collision for a vehicle traversing the intersection.

Abstract: Systems and methods for predicting collision probabilities are provided. The methods involve operating at least one processor to: retrieve vehicle data originating from a telematics device installed in a vehicle, the vehicle data including location data and a plurality of safety exception events performed by the vehicle, the plurality of safety exception events including a plurality of exception event types; identify a plurality of road network edges traveled by the vehicle based on the location data; determine an aggregated area collision rate based on the plurality of road network edges; determine a plurality of exception rates based on the vehicle data, each exception rate representing a normalized rate of occurrence of one of the exception event types; and determine a collision probability using at least one machine learning model on the plurality of exception rates and the aggregated area collision rate, the collision probability representing a risk of collision.

Abstract: Systems and methods for generating vehicle safety scores and vehicle collision probabilities are provided. The methods involve operating at least one processor to: retrieve vehicle data originating from a telematics device installed in a vehicle, the vehicle data including a plurality of safety exception events performed by the vehicle; determine a plurality of exception rates based on the vehicle data, each exception rate representing a normalized rate of occurrence of one of the exception event types; determine plurality of collision sub-probabilities using a plurality of collision probability models and the plurality of exception rates, each collision probability model associated with one of the exception event types and operable to predict one of the collision sub-probabilities based on one of the exception rates of the associated exception event type; and determine a collision probability for the vehicle based on the plurality of collision sub-probabilities.

Abstract: This application discloses a method for determining a lane line recognition abnormal event, and a lane line recognition apparatus and system. One example method includes: determining an updated lane line recognition confidence based on a posteriori lane line recognition result; constructing a lane line true value based on the updated lane line recognition confidence; and determining a lane line recognition abnormal event based on the lane line recognition result and the lane line true value.

Abstract: This application relates to the automated driving field, and discloses a method for identifying abnormal driving behavior, a system, and a vehicle including the system. The method for identifying abnormal driving behavior includes: obtaining vehicle driving behavior data, and determining, based on the vehicle driving behavior data, whether a vehicle is in a state of suspicious abnormal driving behavior; obtaining current vehicle driving scenario data if the vehicle is in the state of suspicious abnormal driving behavior; and determining, based on the vehicle driving behavior data and the current vehicle driving scenario data, whether the suspicious abnormal driving behavior is abnormal driving behavior. In the technical solutions of this application, current driving scenario information is introduced to an identification process of abnormal driving behavior of the vehicle, so that accuracy of identifying the abnormal driving behavior is improved.

Abstract: In one embodiment, a spin torque device uses a thick (e.g., >1 nm, and preferably >=2-6 nm) ferrimagnet (FIM) layer, instead of a thin (e.g., <1-2 nm) FM layer in the device's stack. The FIM layer may be composed of a cobalt-gadolinium (Co—Gd) alloy, cobalt-terbium (Co—Tb) multilayers, or other materials that provide anti-ferromagnetic coupling between two sub-lattices. Negative exchange interaction between the two sub-lattices of the FIM may allow for low current switching. High thermal stability and external magnetic field resistance may also be achieved.

Abstract: The present invention relates to a patch antenna having programmable frequency and polarization comprising the first metal covering layer, the dielectric layer, the second metal covering layer and four metallized through-holes, each of which are disposed sequentially from top to bottom, wherein the first metal covering layer comprises the feeding line and the radiating patch; the feeding line comprises the micro-strip line, which can be connected to the outer feeding port; the micro-strip line is connected to one side of the radiating patch through the high-resistance line; the radiating patch is a square-shaped metal patch; a gap is etched near the other side of the radiating patch, namely, the radiating edge; the gap is parallel to the radiating edge.

Abstract: The present invention relates to a parallel-feeding, dual-band and dual-polarized base station antenna comprising a radiating patch layer, four F-shaped metal strips which are perpendicular to the radiating patch layer and orthogonal to each other, and a feeding layer, which is sequentially disposed from top to bottom, wherein the radiating patch layer comprises the first metal covering layer and the first dielectric layer; wherein the first metal covering layer is square-shaped and an isosceles triangle having the same size is cut from each corner of the square; wherein the four F-shaped metal strips work as the extended part of the feeding layer to couple-feed the radiating patch layer; the feeding layer comprises the first metal feed-line layer, the second dielectric layer, the metal floor layer, the third dielectric layer and the second metal feed-line layer, which are sequentially disposed from top to bottom.

Abstract: The present invention relates to the technical field of visualization in scientific computing, and specifically discloses a ray casting visualization multi-user interaction processing method based on Hadoop and CUDA. On one hand, the method of the present invention employs the parallel processing capability of Hadoop, MapReduce, and NVIDIA CUDA for accelerated rendering, and, on the other hand, the present invention designs a method to avoid duplicate computation for a multi-user interaction environment, thereby reducing the time consumption of duplicate computation. The method of the present invention realizes the fast operation of each pixel gradient, ray resampling and data synthesis and can accomplish the 3D visualization imaging rapidly and efficiently.

Abstract: The present invention relates to the technical field of visualization in scientific computing, and specifically discloses a ray casting visualization multi-user interaction processing method based on Hadoop and CUDA. On one hand, the method of the present invention employs the parallel processing capability of Hadoop, MapReduce, and NVIDIA CUDA for accelerated rendering, and, on the other hand, the present invention designs a method to avoid duplicate computation for a multi-user interaction environment, thereby reducing the time consumption of duplicate computation. The method of the present invention realizes the fast operation of each pixel gradient, ray resampling and data synthesis and can accomplish the 3D visualization imaging rapidly and efficiently.

Abstract: The present invention relates to a patch antenna having programmable frequency and polarization comprising the first metal covering layer, the dielectric layer, the second metal covering layer and four metallized through-holes, each of which are disposed sequentially from top to bottom, wherein the first metal covering layer comprises the feeding line and the radiating patch; the feeding line comprises the micro-strip line, which can be connected to the outer feeding port; the micro-strip line is connected to one side of the radiating patch through the high-resistance line; the radiating patch is a square-shaped metal patch; a gap is etched near the other side of the radiating patch, namely, the radiating edge; the gap is parallel to the radiating edge.

Abstract: The present invention relates to a parallel-feeding, dual-band and dual-polarized base station antenna comprising a radiating patch layer, four F-shaped metal strips which are perpendicular to the radiating patch layer and orthogonal to each other, and a feeding layer, which is sequentially disposed from top to bottom, wherein the radiating patch layer comprises the first metal covering layer and the first dielectric layer; wherein the first metal covering layer is square-shaped and an isosceles triangle having the same size is cut from each corner of the square; wherein the four F-shaped metal strips work as the extended part of the feeding layer to couple-feed the radiating patch layer; the feeding layer comprises the first metal feed-line layer, the second dielectric layer, the metal floor layer, the third dielectric layer and the second metal feed-line layer, which are sequentially disposed from top to bottom.