Abstract: Obtaining one or more parameters of an autonomous vehicle, the parameters including any of a position, path, and/or speed of the autonomous vehicle. A region of interest from a plurality of regions surrounding the autonomous vehicle is identified based on the one or more parameters. One or more sensors mounted on a sensor guide rail are controlled, based on the region of interest, to move the sensor(s) along at least a portion of the autonomous vehicle, and to capture sensor data of the region of interest and not capture sensor data from the one or more other regions of the plurality of regions surrounding the autonomous vehicle, the sensor guide rail being mounted on a surface of the autonomous vehicle. The captured sensor data is provided to a processor capable of facilitating, based on the captured sensor data of the region of interest, one or more autonomous vehicle driving actions.

Abstract: A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.

Abstract: A lace guide for an article of footwear comprises a base, a body protruding from the base, and an enlarged head at a distal end of the body. The body, the base, and the enlarged head define an external channel that extends at least partially around the body to receive and retain a lace. The base may be a heel counter, and the lace guide and the heel counter may be an integral, one-piece component. Alternatively, the base of the lace guide may be a wing extending along a side of the upper, or may be secured to a footwear upper.

Abstract: A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting one or more movable objects; determining a target movable object from the one or more detected objects; determining a manner of generating a directed alert notification selectively toward the target movable object; and causing a directed alert notification of the determined manner to be generated toward the target movable object.

Abstract: Embodiments relate to the communications field, and provide an icon display method and a terminal device. A solution includes a terminal device that determines a grasp point location, where a grasp point location is one of a preset graspable part of the terminal device; the terminal device determines a relative location of each of at least one icon displayed on the terminal device; the terminal device determines a current operation region based on the grasp point location; the terminal device determines a sensing region of each icon based on the current operation region, the grasp point location, and the relative location of each of the at least one icon, so that the sensing region of each icon partially or completely falls within the current operation region.

Abstract: A system included and a computer-implemented method performed in one of a plurality of self-driving vehicles that are connected through a network are described. The system performs: processing image data of one or more scene images received by said one of the plurality of self-driving vehicles, to detect one or more objects included in the one or more scene images; determining a target object from the one or more detected objects at least based on the processed image data; predicting movement of the target object at least based on a current position and a current movement state of the target object; and performing a self-driving operation to drive said one of the plurality of self-driving vehicles based on the predicted movement of the target object.

Abstract: Systems, methods, and non-transitory computer-readable media are provided for implementing a preemptive control for an autonomous vehicle to improve ride quality. Data from one or more sensors onboard the autonomous vehicle can be acquired. A surface imperfection of a road can be identified from the data. A next action for the autonomous vehicle can be determined based on the surface imperfection. A signal can be outputted that causes the autonomous vehicle to act in accordance with the next action.

Abstract: A light-emitting diode (LED) package includes a substrate with upper and lower surfaces, including: a metal block; an electrically insulating region surrounding at least a portion of the metal block; an LED chip mounted on the substrate and in electrical communication with the metal block; and an encapsulant covering at least an upper surface of the LED chip. A light-emitting system includes a plurality of light-emitting diode (LED) chips; and a package support for the plurality of LED chips.

Abstract: Systems, methods, and non-transitory computer readable media may be configured to characterize optical characteristics of optical elements. An optical element mount may be configured to carry an optical element. A calibration display may be configured to display a calibration object. The calibration object may include a known visual pattern. Multiple images of the calibration object may be obtained. The multiple images may be acquired using the optical element carried by the optical element mount. The multiple images may include different perspectives of the calibration object. Optical characteristics of the optical element may be characterized based on the known visual pattern and the different perspectives of the calibration object.

Abstract: Systems, methods, and non-transitory computer-readable media are provided for implementing a tracking camera system onboard an autonomous vehicle. Coordinate data of an object can be received. The tracking camera system actuates, based on the coordinate data, to a position such that the object is in view of the tracking camera system. Vehicle operation data of the autonomous vehicle can be received. The position of the tracking camera system can be adjusted, based on the vehicle operation data, such that the object remains in view of the tracking camera system while the autonomous vehicle is in motion. A focus of the tracking camera system can be adjusted to bring the object in focus. The tracking camera system captures image data corresponding to the object.

Abstract: Systems, methods, and non-transitory computer-readable media are provided for acquiring driving records from an autonomous vehicle. One or more patterns can be determined from the driving records. One or more criteria can be generated based on the one or more patterns. One or more suspicious points can be identified in the driving records by applying the one or more criteria to the driving records.

Abstract: A system included and a computer-implemented method performed in one of a plurality of self-driving vehicles that are connected through a network are described. The system performs: processing image data of one or more scene images received by said one of the plurality of self-driving vehicles, to detect one or more objects included in the one or more scene images; determining a target object from the one or more detected objects at least based on the processed image data; predicting movement of the target object at least based on a current position and a current movement state of the target object; and performing a self-driving operation to drive said one of the plurality of self-driving vehicles based on the predicted movement of the target object.

Abstract: A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting one or more movable objects; determining a target movable object from the one or more detected objects; determining a manner of generating a directed alert notification selectively toward the target movable object; and causing a directed alert notification of the determined manner to be generated toward the target movable object.

Abstract: A lace guide for an article of footwear comprises a base, a body protruding from the base, and an enlarged head at a distal end of the body. The body, the base, and the enlarged head define an external channel that extends at least partially around the body to receive and retain a lace. The base may be a heel counter, and the lace guide and the heel counter may be an integral, one-piece component. Alternatively, the base of the lace guide may be a wing extending along a side of the upper, or may be secured to a footwear upper.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium and a method for automatically providing support solutions in response to user feedback items. The method comprises receiving user feedback items and corresponding support solutions. The method further comprises identifying, using clustering techniques, associations between the user feedback items and the corresponding support solutions. The method further comprises storing the identified associations as an items-solutions model that correlates the user feedback items with the corresponding support solutions. The method further comprises receiving a new user feedback item. The method further comprises automatically determining, using the items-solutions model, at least one support solution that corresponds to the new user feedback item. The method further comprises providing the at least one support solution in response to the received new user feedback item.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced three-dimensional information. Three-dimensional information of a scene may be obtained. The three-dimensional information may define a three-dimensional point cloud model of the scene. The three-dimensional information may be determined based on distances of the scene from a location. Image information may be obtained. The image information may define one or more images of an object. The object may be identified based on the image information. A three-dimensional point cloud model of the object may be obtained. Enhanced three-dimensional information of the scene may be generated by inserting the three-dimensional point cloud model of the object into the three-dimensional point cloud model of the scene.

Abstract: Systems and methods are provided for segmenting a data frame to be acquired into a number of incremental data of equal data length. A first incremental data of the data frame can be acquired from one or more sensors. The first incremental data of the data frame can be processed while a next incremental data of the data frame is being acquired from the one or more sensors. The acquiring and processing of incremental data of the data frame can continue until a last incremental data of the data frame is acquired and processed. Processed incremental data can be outputted as a processed data frame.

Abstract: An automatic turnover device for use in manufacturing includes a support frame, a motor, a pulley, a holding assembly, and a belt. The motor is secured to the support frame. The motor has an output shaft. The pulley is mounted on the output shaft of the motor. The holding assembly is pivotally connected to the support frame. The holding assembly is configured to hold an object. The belt has one end attached to the pulley and another end attached to the holding assembly. The motor is operated to rotate the output shaft in a first direction to tighten the belt and then to rotate in reverse to release the belt, such that a center of gravity of the holding assembly is moved. The holding assembly pivots relative to the support frame from a first horizontal position to a second horizontal position due to its own weight.

Abstract: An automatic turnover device for use in manufacturing includes a support frame, a motor, a pulley, a holding assembly, and a belt. The motor is secured to the support frame. The motor has an output shaft. The pulley is mounted on the output shaft of the motor. The holding assembly is pivotally connected to the support frame. The holding assembly is configured to hold an object. The belt has one end attached to the pulley and another end attached to the holding assembly. The motor is operated to rotate the output shaft in a first direction to tighten the belt and then to rotate in reverse to release the belt, such that a center of gravity of the holding assembly is moved. The holding assembly pivots relative to the support frame from a first horizontal position to a second horizontal position due to its own weight.