Abstract: A touch sensing system comprising: a frame work; an auxiliary layer, surrounding the frame work; a capacitive touch sensor layer, surrounding the auxiliary layer; a flexible material layer, located between the capacitive touch sensor layer and the auxiliary layer, and surrounding the auxiliary layer; and a flattening material layer, located between the capacitive touch sensor layer and the flexible material layer or located between the auxiliary layer and the flexible material layer, wherein the flattening material layer flattens the flexible material layer. The capacitive touch sensor layer comprises at least one first driving electrode and at least one first sensing electrode. The auxiliary layer comprises at least one electrode. Similar structure can also be used to a multi-sensor device and a vehicle control device. By this way, the assembling or the manufacturing can be simplified.

Abstract: A method includes obtaining an image representing road objects belonging to a particular class, and generating, based on the image, feature maps that represent visual features of the image. The method also includes determining, based on the feature maps and for each respective road object of the plurality of road objects, a corresponding location at which the respective road object has been detected within the image and a corresponding tag value associated with the respective road object. The method additionally includes determining groups of the road objects based on the tag value of each respective road object, and identifying, for each respective group, a corresponding road condition based on the corresponding locations of the road objects in the respective group and the particular class. The method further includes generating an output that represents the corresponding road condition of each respective group.

Abstract: A vehicle device setting method including: capturing, by an image sensing unit, a first image frame; recognizing a user ID according to the first image frame; showing ID information of the recognized user ID on a screen or by a speaker; capturing a second image frame; generating a confirm signal when a first user expression is recognized by calculating an expression feature in the second image frame and comparing the recognized expression feature with stored expression data associated with a predetermined user expression to confirm whether the recognized user ID is correct or not according to the second image frame captured after the ID information is shown; controlling an electronic device according to the confirm signal; and entering a data update mode instructed by the user and updating setting information of the electronic device by current electronic device setting according to a saving signal generated by confirming a second user expression in a third image frame captured after the user ID is confirmed

Abstract: A flange device using a voice coil motor and a contact control method thereof are disclosed. In the flange device, a force sensor, displacement sensor and an inertial measurement unit (IMU) are used to sense contact data, the contact data is filtered, and the filer contact data is calculated based on an attitude & heading reference systems (AHRS) algorithm, to obtain a force control command to control a displacement direction and a displacement distance of the flange device, so that the flange device is able to adjust a contact status between a polishing device and a to-be-polished object by using the voice coil motor, thereby achieving the technical effect of providing an electromagnetic contact-state adjustment device with quiet and precise control and fast response.

Abstract: An input method and a controller of a touch keyboard are provided. The input method includes: detecting a touch behavior performed on the touch keyboard, and identifying the touch behavior to determine whether to output mouse event data, keyboard event data or a combination of mouse event data and keyboard event data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a future occupancy prediction for a region of an environment. In one aspect, a method comprises: receiving sensor data generated by a sensor system of a vehicle that characterizes an environment in a vicinity of the vehicle as of a current time point, wherein the sensor data comprises a plurality of sensor samples characterizing the environment that were each captured at different time points; processing a network input comprising the sensor data using a neural network to generate an occupancy prediction output for a region of the environment, wherein: the occupancy prediction output characterizes, for one or more future intervals of time after the current time point, a respective likelihood that the region of the environment will be occupied by an agent in the environment during the future interval of time.

Abstract: A flange device using a voice coil motor and a contact control method thereof are disclosed. In the flange device, a force sensor, displacement sensor and an inertial measurement unit (IMU) are used to sense contact data, the contact data is filtered, and the filer contact data is calculated based on an attitude & heading reference systems (AHRS) algorithm, to obtain a force control command to control a displacement direction and a displacement distance of the flange device, so that the flange device is able to adjust a contact status between a polishing device and a to-be-polished object by using the voice coil motor, thereby achieving the technical effect of providing an electromagnetic contact-state adjustment device with quiet and precise control and fast response.

Abstract: A pressure sensing unit is provided. The pressure sensing unit includes a membrane and a pressure sensing pad group. The membrane has a first surface and a second surface. The pressure sensing pad group includes a first pressure sensing pad, a second pressure sensing pad, and a ground pad that are spaced apart from one another. The ground pad and one among the first pressure sensing pad and the second pressure sensing pad are located at the first surface of the membrane, another one among the first pressure sensing pad and the second pressure sensing pad is located at the second surface of the membrane, and an orthographic projection of the ground pad projected onto a reference plane is located between orthographic projections of the first pressure sensing pad and the second pressure sensing pad that are projected onto the reference plane.

Abstract: A pressure sensing unit, a capacitive hybrid sensor device, and an input apparatus using the same are provided. The pressure sensing unit for detecting pressing events includes a pressure sensing pad group and a floating conductive element. The pressure sensing pad group includes a first pressure sensing pad, a second pressure sensing pad, and a ground pad that are spaced apart from one another. The first and second pressure sensing pads are electrically shielded from each other by the ground pad. One among the floating conductive element and the pressure sensing pad group is configured to be movable in a movement direction relative to another one among the floating conductive element and the pressure sensing pad group. The floating conductive element overlaps with the pressure sensing pad group in the movement direction. Therefore, a signal-to-noise ratio can be increased and an erroneous detection can be prevented.

Abstract: A method of preparing a sample for physical analysis is disclosed, which is characterized by forming a low-temperature atomic layer deposition (ALD) metal nitride film or a low-temperature atomic layer deposition (ALD) metal oxynitride film by plasma-less enhanced atomic layer deposition (PLALD) at a temperature below 40° C. on a specimen to generate a sample for physical analysis to prevent the surface of sample for physical analysis from being damaged during physical analysis.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating object interaction predictions using a neural network. One of the methods includes obtaining a sensor input derived from data generated by one or more sensors that characterizes a scene. The sensor input is provided to an object interaction neural network. The object interaction neural network is configured to process the sensor input to generate a plurality of object interaction outputs. Each respective object interaction output includes main object information and interacting object information. The respective object interaction outputs corresponding to the plurality of regions in the sensor input are received as output of the object interaction neural network.

Abstract: A capacitive touchpad is provided, which includes a substrate module, a plurality of sensing electrodes, a plurality of driving electrodes and a plurality of light-emitting diode (LED) dies. The plurality of sensing electrodes and the plurality of driving electrodes form a touch sensing region of the capacitive touchpad, and the touch sensing region is divided into a plurality of sensing units having same areas. Each of the LED dies is arranged in two adjacent ones of the plurality of sensing units, and a position of each of the LED dies corresponds to one of the plurality of driving electrodes, and the LED dies are electrically isolated from the plurality of sensing electrodes and the plurality of driving electrodes.

Abstract: A key unit and a keyboard using the same are provided. The key unit includes a circuit board, a supporting assembly, a keycap, and a floating conductive structure. The circuit board includes a capacitance sensing circuit embedded therein, and the capacitance sensing circuit includes a pair of sensor electrodes which are spaced apart from each other. The supporting assembly is disposed on the circuit board. The keycap is moveably disposed above and spaced apart from the circuit board. The supporting assembly disposed between the keycap and the circuit board allows the keycap to be moved between a non-depressed position and a depressed position with respect to the circuit board. The floating conductive structure is disposed on the supporting assembly, and an orthogonal projection of the floating conductive structure on the circuit board overlaps with the pair of sensor electrodes.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a future occupancy prediction for a region of an environment. In one aspect, a method comprises: receiving sensor data generated by a sensor system of a vehicle that characterizes an environment in a vicinity of the vehicle as of a current time point, wherein the sensor data comprises a plurality of sensor samples characterizing the environment that were each captured at different time points; processing a network input comprising the sensor data using a neural network to generate an occupancy prediction output for a region of the environment, wherein: the occupancy prediction output characterizes, for one or more future intervals of time after the current time point, a respective likelihood that the region of the environment will be occupied by an agent in the environment during the future interval of time.

Abstract: A pressure sensing unit, a capacitive hybrid sensor device, and an input apparatus using the same are provided. The pressure sensing unit for detecting pressing events includes a pressure sensing pad group and a floating conductive element. The pressure sensing pad group includes a first pressure sensing pad, a second pressure sensing pad, and a ground pad that are spaced apart from one another. The first pressure sensing pad and the second pressure sensing pad are electrically shielded from each other by the ground pad. One of the floating conductive element and the pressure sensing pad group is configured to be movable in a movement direction relative to another one of the floating conductive element and the pressure sensing pad group. The floating conductive element overlaps with the pressure sensing pad group in the movement direction.

Abstract: A touch sensor and a keyboard using the same are provided. The touch sensor includes a plurality of main sensor structures and a plurality of resilient structures. Any two adjacent ones of the main sensor structures have a gap therebetween. Each of the resilient structures is connected between two adjacent ones of the main sensor structures, and each of the resilient structures has a cross-sectional width that is less than a width of the gap.

Abstract: A key unit and a keyboard using the same are provided. The key unit includes a circuit board, an elastic element, a keycap, and a processing circuit. The circuit board includes a capacitance sensing circuit embedded therein, and the capacitance sensing circuit includes a pair of sensor electrodes. The elastic element is disposed on the circuit board. The keycap is moveably disposed above and spaced apart from the circuit board. The elastic element is disposed between the keycap and the circuit board so that the keycap moves between a non-depressed position and a depressed position with respect to the circuit board. The processing circuit is electrically connected to the pair of sensor electrodes to obtain a variation of a coupling capacitance between the pair of sensor electrodes and to determine whether the keycap is touched or depressed according to the variation of coupling capacitance.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a future occupancy prediction for a region of an environment. In one aspect, a method comprises: receiving sensor data generated by a sensor system of a vehicle that characterizes an environment in a vicinity of the vehicle as of a current time point, wherein the sensor data comprises a plurality of sensor samples characterizing the environment that were each captured at different time points; processing a network input comprising the sensor data using a neural network to generate an occupancy prediction output for a region of the environment, wherein: the occupancy prediction output characterizes, for one or more future intervals of time after the current time point, a respective likelihood that the region of the environment will be occupied by an agent in the environment during the future interval of time.

Abstract: A touch sensor and a keyboard using the same are provided. The touch sensor includes a plurality of main sensor structures and a plurality of resilient structures. Any two adjacent ones of the main sensor structures have a gap therebetween. Each of the resilient structures is connected between two adjacent ones of the main sensor structures, and each of the resilient structures has a cross-sectional width that is less than a width of the gap.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for generating a distance estimate for a target object that is depicted in an image of a scene in an environment. The system obtains data specifying (i) a target portion of the image that depicts the target object detected in the image, and (ii) one or more reference portions of the image that each depict a respective reference object detected in the image. The system further obtains, for each of the one or more reference objects, a respective distance measurement for the reference object that is a measurement of a distance from the reference object to a specified location in the environment. The system processes the obtained data to generate a distance estimate for the target object that is an estimate of a distance from the target object to the specified location in the environment.