Abstract: A surge current suppression circuit includes a switch, a bypass resistor, a detection resistor, and a comparator. The switch is coupled to a first end of an energy storage capacitor in series, wherein a second end of the energy storage capacitor is coupled to a load and receives an input power source. The bypass resistor is coupled to the switch in parallel. The detection resistor is coupled to the switch in series to generate a detection voltage according to a capacitor current flowing through the energy storage capacitor. The comparator compares the detection voltage with a reference voltage to generate a control signal. When the detection voltage is greater than the reference voltage, the control signal controls the switch to be turned off. When the detection voltage is less than the reference voltage, the control signal controls the main switch to be turned on.

Abstract: Systems, methods, and computer readable media to detect and track a user's eye gaze and head movement are described. In general, techniques are disclosed for identifying a user's pupil location and using this information, in conjunction with a three dimensional (3D) model of the user's head, perform gaze tracking operations. More particularly, techniques disclosed herein utilize pupil gradient information to refine an initial pupil location estimate. Once identified, the pupil's location may be combined with 3D head pose information to generate an accurate and robust gaze detection mechanism.

Abstract: An active bridge rectifier circuit includes a rectifier unit and a control unit. The rectifier unit includes a first upper bridge switch, a second upper bridge switch, a first lower bridge switch, and a second lower bridge switch. The control unit includes a first signal comparator and a second signal comparator. The first signal comparator compares a live wire signal provided from a live wire end with a neutral wire signal provided from a neutral wire end to generate a first comparison signal. The second signal comparator compares the live wire signal with the neutral wire signal to generate a second comparison signal. The first comparison signal controls the first upper bridge switch and the first lower bridge switch. The second comparison signal controls the second upper bridge switch and the second lower bridge switch.

Abstract: The present invention generally relates to generating a three-dimensional representation of a physical environment, which includes dynamic scenarios.

Abstract: A surge current suppression circuit includes a switch, a bypass resistor, a detection resistor, and a comparator. The switch is coupled to a first end of an energy storage capacitor in series, wherein a second end of the energy storage capacitor is coupled to a load and receives an input power source. The bypass resistor is coupled to the switch in parallel. The detection resistor is coupled to the switch in series to generate a detection voltage according to a capacitor current flowing through the energy storage capacitor. The comparator compares the detection voltage with a reference voltage to generate a control signal. When the detection voltage is greater than the reference voltage, the control signal controls the switch to be turned off. When the detection voltage is less than the reference voltage, the control signal controls the main switch to be turned on.

Abstract: An active bridge rectifier circuit includes a rectifier unit and a control unit. The rectifier unit includes a first upper bridge switch, a second upper bridge switch, a first lower bridge switch, and a second lower bridge switch. The control unit includes a first signal comparator and a second signal comparator. The first signal comparator compares a live wire signal provided from a live wire end with a neutral wire signal provided from a neutral wire end to generate a first comparison signal. The second signal comparator compares the live wire signal with the neutral wire signal to generate a second comparison signal. The first comparison signal controls the first upper bridge switch and the first lower bridge switch. The second comparison signal controls the second upper bridge switch and the second lower bridge switch.

Abstract: A method of using a drone that is equipped with a camera and an inertial measurement unit (IMU) to survey an environment to reconstruct a 3D map is described. A key frame location is first identified. A first image of the environment is captured by the camera from the key frame location. The drone is then moved away from the key frame location to another location. A second image of the environment is captured from the other location. The drone then returns to the key frame location. The drone may perform additional rounds of scans and returns to the key frame location between each round. By constantly requiring the drone to return to the key frame location, the precise location of the drone may be determined by the acceleration data of the IMU because the location information may be recalibrated each time at the key frame location.

Abstract: An electronic device and a method for controlling a fan operation are provided. A containing space of the electronic device has a fan module and a deformation sensor. The deformation sensor detects whether a fan housing of the fan module is deformed. The deformation sensor transmits a deformation signal to a controller when detecting that the fan housing is deformed. The controller drives a fan blade of the fan module to stop running after receiving the deformation signal.

Abstract: A paper warping detection device comprises: an input tray for loading a plurality of pieces of paper to be fed; a processor for storing a first threshold; a first emitting unit disposed at a front end of the input tray that forms a first angle with the input tray, and then emits a first ultrasonic beam toward the input tray in an obliquely and downward direction; a first receiving unit which is disposed at the front end of the input tray and formed a second angle with the input tray for receiving the ultrasonic beam reflected by the paper loaded in the input tray in a direction leaned downward; and a first analog to digital converter which is electrically connected to the first receiving unit and the processor respectively, for converting the reflected first ultrasonic beam received by the first receiving unit into a first digital signals and outputting the first digital signals to the processor.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a driving scenario machine learning network and providing a simulated driving environment. One of the operations is performed by receiving video data that includes multiple video frames depicting an aerial view of vehicles moving about an area. The video data is processed and driving scenario data is generated which includes information about the dynamic objects identified in the video. A machine learning network is trained using the generated driving scenario data. A 3-dimensional simulated environment is provided which is configured to allow an autonomous vehicle to interact with one or more of the dynamic objects.

Abstract: Systems and methods for localization are provided. In one aspect, a LIDAR scan is captured from above to generate a point cloud. One or more locations may be sampled in the point cloud and LIDAR scans may be simulated at each location. The sampled locations and associated simulated LIDAR scans may be used to train a regressor to localize vehicles in the environment that are at poses different from the pose from which the LIDAR point cloud was captured. In one aspect, a mapping UAV systematically scans an environment with a camera to generate a plurality of map images. The map images are stitched together into an orthographic image. A runtime UAV captures one or more runtime images of the environment with a camera. Feature matching is performed between the runtime images and the orthographic image for localization. In one aspect, a first machine learning model is trained to transform a camera image into a LIDAR image and a second machine learning model is trained to estimate a pose based on a LIDAR image.

Abstract: A ground-aware drone flight planning and operation system is provided. The system may comprise a semantic map, a localization system, and a perception system. The semantic map may comprise information about ground events in a geographic area where an unmanned aerial vehicle (UAV) may operate. The localization system may localize the UAV and assist in determining nearby ground events using the semantic map. The perception system may determine real-time ground events in the vicinity of the UAV. A computerized flight planner may generate a flight path based on the localization and perception data.

Abstract: A heat dissipation module adapted for an electronic device is provided. The heat dissipation module includes a heat dissipation structure and a heat dissipation fan. The heat dissipation structure is disposed in a casing of the electronic device and has a heat dissipation portion, wherein a heat dissipation flow channel is formed between the heat dissipation portion and the casing. The heat dissipation fan is adjacent to the heat dissipation portion, wherein the heat dissipation fan or the heat dissipation structure has an air flow guiding portion with a slot connected to the heat dissipation flow channel, the heat dissipation fan provides a heat dissipation air flow, and the air flow guiding portion guides a part of the heat dissipation air flow to pass through the slot along a direction not parallel to an outflow direction of the heat dissipation fan and then pass through the heat dissipation flow channel.

Abstract: Systems, methods, and computer readable media to detect and track a user's eye gaze and head movement are described. In general, techniques are disclosed for identifying a user's pupil location and using this information, in conjunction with a three dimensional (3D) model of the user's head, perform gaze tracking operations. More particularly, techniques disclosed herein utilize pupil gradient information to refine an initial pupil location estimate. Once identified, the pupil's location may be combined with 3D head pose information to generate an accurate and robust gaze detection mechanism.

Abstract: A method of detecting a spot shape of a pulsed laser beam, includes applying a pulsed laser beam having a wavelength absorbable by an inspection wafer held on a chuck table continuously to the inspection wafer with a focused point on an upper surface of the inspection wafer thereby to form a plurality of laser spots on the upper surface of the inspection wafer. An image of the laser spots is captured, and profiles of shapes of the laser spots are extracted from the captured image of the laser spots. A degree of similarity between the captured image and the profile of an ideal laser spot shape is calculated and stored in a memory. The shapes of the laser spots are found to be improper if the calculated degree of similarity is lower than a threshold value.

Abstract: The present invention generally relates to deploying airborne agents to capture data related to a physical environment. An exemplary device comprises one or more processors; a memory; and one or more programs that includes instructions for: receiving a user request indicative of a geographical region and a data type; in response to receiving the user request, generating a flight path based on the region; causing the airborne agent to traverse at least a portion of the region based on the generated flight path; causing the airborne agent to gather data based on the data type in the user request; processing the gathered data to obtain a set of data of interest; and providing an output based on the set of data of interest.

Abstract: A method for detecting a deflection between a source module and a detection module in a scanning apparatus and configured as a sensor pair for scanning transmission measurement of sheet material being transported in a machine direction through a sensing gap formed between the source module and the detection module. The source module is arranged on a first side of the sensing gap and emits a sensing radiation or sensing energy radiation towards the sensing gap, and the detection module is arranged on a second side of the sensing gap opposite to the first side and detects the radiation from the source module and transmitted through the sensing gap. The method includes: attaching a removable blocking device to the detection module; and performing a partially-blocked scanning process during which the source module and the detection module are jointly moved in a cross direction of the scanning apparatus.

Abstract: The present invention generally relates to generating a three-dimensional representation of a physical environment, which includes dynamic scenarios.

Abstract: Methods that identify local motions in point cloud data that are generated by one or more rounds of LIDAR scans are disclosed. The point cloud data describes an environment with points with each point having a scanned time and scanned coordinates. From the point cloud data, a subset of points is selected. A surface is reconstructed at a common reference time using the subset of points. The reconstructed surface includes points that are moved from the scanned coordinates of the points in the subset. The moved points are derived from a projected movement under a projected motion parameter in duration between the scanned time and the common reference time. The surface quality of the reconstructed surface is determined. If the surface has a high quality, the projected motion parameter is determined to be the final motion parameter that is used as an indication whether an object is moving.

Abstract: A method of using a drone that is equipped with a camera and an inertial measurement unit (IMU) to survey an environment to reconstruct a 3D map is described. A key frame location is first identified. A first image of the environment is captured by the camera from the key frame location. The drone is then moved away from the key frame location to another location. A second image of the environment is captured from the other location. The drone then returns to the key frame location. The drone may perform additional rounds of scans and returns to the key frame location between each round. By constantly requiring the drone to return to the key frame location, the precise location of the drone may be determined by the acceleration data of the IMU because the location information may be recalibrated each time at the key frame location.