Abstract:
Smart car operations are detailed including capturing a point cloud from a vehicle street view and converting the point cloud to a 3D model; applying a trained neural network to detect street signs, cross walks, obstacles, or bike lanes; and updating a high definition (HD) map with the neural network output.
Abstract:
A system includes a housing; one or more antennas mounted on the housing; and a processor to control a directionality of the antennas in communication with a predetermined target using 5G protocols.
Abstract:
An Internet of Thing (IoT) device includes a body network; and one or more devices, each device having a head portion, a sensor, a vibrator in the elongated body, a processor coupled to the sensor and the vibrator, and a wireless transceiver in the elongated body coupled to the body network.
Abstract:
An Internet of Thing (IoT) device includes a head portion; an elongated stress sensor coupled to the head portion, the stress sensor coupled to a surface; a processor coupled to the stress sensor; and a wireless transceiver coupled to the processor.
Abstract:
An augmented reality method includes selecting an image of an object to be installed; converting the image into a 3D model; capturing a view of an environment and selecting a place to insert the 3D model; overlaying the 3D model with the view of the environment in a mashed-up and aligned manner wherein the 3D model view is displayed contemporaneously and contiguously to form an augmented reality view; and enabling user interaction with the displayed 3D model view to update the 3D model of the environment in the 3D modeling system.
Abstract:
An augmented reality method includes selecting an image of an object to be installed; converting the image into a 3D model; capturing a view of an environment and selecting a place to insert the 3D model; overlaying the 3D model with the view of the environment in a mashed-up and aligned manner wherein the 3D model view is displayed contemporaneously and contiguously to form an augmented reality view; and enabling user interaction with the displayed 3D model view to update the 3D model of the environment in the 3D modeling system.
Abstract:
The invention relates to a organic field effect transistor device comprising: an organic semiconductor layer; a source electrode arranged in electronic contact with the said organic semiconductor; a drain electrode arranged in electronic contact with the said organic semiconductor; a gate electrode; an electrolyte layer arranged between said gate electrode and said organic semiconductor layer; wherein the organic semiconductor layer comprises a semiconducting polymeric material comprising one or more blocks of conjugated polymer combined with one or more blocks of copolymer; preferably an amphiphilic copolymer. Also a method of producing the device, and a polyanionic polymer is provided by the invention.
Abstract:
The present invention is directed to a method of identifying test devices having excessive leakage current and also includes computer program products that enable the same. The method obtaining background test data using a test routine to measure the leakage current for a set of test devices as a function of a parameter associated with device speed for the device under test. From the test data, a leakage threshold function is defined that correlates leakage current with the parameter associated with device speed. The test routine and the leakage threshold function are then input into an automated testing apparatus configured to execute the test on production or other devices. Devices are tested to determine leakage current over a range of parameter values associated with device speed. The devices are then screened using the leakage threshold function to determine the status of the device.