Abstract: One example method involves obtaining a plurality of scans of a field-of-view (FOV) of a light detection and ranging (LIDAR) device disposed inside a housing. Obtaining each scan of the plurality of scans comprises: transmitting, through a plurality of sections of the housing, a plurality of light pulses emitted from the LIDAR device in different directions toward the housing; and detecting a plurality of returning light pulses comprising reflected portions of the transmitted plurality of light pulses that are reflected back toward the LIDAR device. The method also involves detecting an obstruction that at least partially occludes the LIDAR device from scanning the FOV through the housing based on the plurality of scans.

Abstract: Polyphase wireless power transfer systems are provided. The transfer system may be used for charging hybrid and electric vehicles. The systems are capable of transferring over 50 KW over an air gap of 15 cm. The systems use a rotating magnetic field to transfer power. The system may comprise transmitter coil assembly. The coil assembly may be one or more layers. The system may employ either unipolar or bipolar coils. The transmitter also comprises compensating capacitance connected in series with at least one coil for each phase. A value of the compensating capacitance for each phase is determined such that the transmitter has at least two independently excitable resonant modes at a resonant frequency. The transmitter is compatible with a plurality of different receivers including three-phase, single phase with a circular coil and single phase with DD coils.

Abstract: In an example embodiment, a deep learning algorithm is introduced that operates directly on a raw sequence of user activity in an online network. This allows the system to scalably leverage more of the available signal hidden in the data and stop adversarial attacks more efficiently than other machine-learned models. More particularly, each specific request path is translated into a standardized token that indicates the type of the request (e.g., profile view, search, login, etc.). This eliminates the need for human curation of features. Then, the standardized request paths are standardized to integers based on the frequency of that request path across all users. This allows information about how common a given type of request is to be provided to the machine-learned model. The integer array is the activity sequence that is fed into the deep learning algorithm.

Abstract: The technology relates to a seamless interface between an autonomous vehicle service provider and one or more ridesharing, ride-hailing or delivery partner companies, in order to provide timely, efficient rider or delivery services and support. A partner trip application programming interface (API) provides robust features to the ridesharing or ride-hailing partner companies and also supports delivery of meals, groceries, packages or other cargo. For instance, the API may be employed with delivery partners (e.g., food, package or bulk cargo delivery), and/or for concierge services (e.g., a hotel or medical provider or an e-commerce specialist that coordinates deliveries). The technology supports both ad hoc and scheduled trips. Agents for different partners may schedule trips to or from specific stores or other (geofenced) locations, and observe and manage trips for an entire enterprise. Permissions can be tailored for each agent.

Abstract: A traction battery assembly includes, among other things, a cover of a battery array, a holder attached to the cover, and a circuit board held by the holder in a position where the circuit board is spaced from the cover. The holder is configured to communicate thermal energy between the circuit board and the cover. A method of securing a circuit board of a traction battery pack includes, among other things, holding a circuit board with a holder, and attaching a holder that is holding the circuit board to a cover of a battery array. The circuit board held by the holder is held in a position where the circuit board is spaced from the cover.

Abstract: A memory management method is provided, which includes assigning separate virtual addresses to processes in user space, include to a file system configured to read/write to persistent storage. Virtual memory objects (VMOs) are created in user space that are backed by a user space pager service. Such objects including pages representing a file associated with information maintained in persistent storage. A pager manages reading/writing to persistent storage. The pager populates pages for a given VMO using data retrieved from persistent storage. Upon populating the pages, a state of the VMO is set to a clean state. Upon writing to the pages, the state of the VMO is set to a dirty state. Upon initiating writing back to persistent storage, the state of the VMO is set to an awaiting clean state. Upon ending the writing back, the state of the VMO is set to clean.

Abstract: A method may include obtaining first audio data originating at a first device during a communication session between the first device and a second device. The method may also include obtaining an availability of revoiced transcription units in a transcription system and in response to establishment of the communication session, selecting, based on the availability of revoiced transcription units, a revoiced transcription unit instead of a non-revoiced transcription unit to generate a transcript of the first audio data. The method may also include obtaining revoiced audio generated by a revoicing of the first audio data by a captioning assistant and generating a transcription of the revoiced audio using an automatic speech recognition system. The method may further include in response to selecting the revoiced transcription unit, directing the transcription of the revoiced audio to the second device as the transcript of the first audio data.

Abstract: In an example method, a computer system receives first data representing a plurality of scenarios for estimating a performance of a vehicle in conducting autonomous operations. Further, the computer system determines, for each of the scenarios: (i) a first metric indicating an observed performance of the vehicle in that scenario, where the first metric is determined based on at least one rule, and (ii) a second metric indicating a degree of information gain associated with that scenario. The computer system selects a subset of the scenarios based on the first metrics and the second metrics, and outputs second data indicative of the subset of the scenarios.

Abstract: An illustrative example composite leaf spring includes first and second bushing tubes near longitudinal ends. A ribbon of base material is wrapped at least partially around the first and second bushing tubes. The base material has a width that defines a width of the leaf spring. First portions of the base material are near the longitudinal ends and a second portion is between the first portions. The second portion is thicker than the first portions. A plurality of layers of a ribbon of tension material are wrapped around the base material. The tension material defines an outermost layer of the leaf spring. The tension material has warp strands in a longitudinal direction between the first and second longitudinal ends of the leaf spring and weft strands transverse to the warp strands. The warp strands establish a majority of a composition of the tension material.

Abstract: Systems for processing material, taping stations to apply tape to one or more rolls of material, and methods of processing material are disclosed. A system for processing material includes a winding station and a taping station. The winding station includes a winder to wrap material around a mandrel to produce one or more rolls of material. The taping station is arranged downstream of the winding station to receive the one or more rolls of material therefrom and apply tape to the one or more rolls of material.

Abstract: A user device includes hardware configured to select a preamble or PRACH occasion associated with a first time span for the user device to transmit at least a data portion of a random-access procedure message to a base station, and to receive a message granting the user device an occasion to transmit uplink data on a PUSCH occasion that includes a second time span (412). The hardware also determines that the first and second time spans overlap (414), and only one of (i) transmits at least the data portion of the random-access procedure message to the base station during the first time span. or (ii) transmits the uplink data to the base station during the second time span, based on a transmission precedence of (i) at least the data portion of the random-access procedure message and (ii) the uplink data (440).

Abstract: Low-flow fluid delivery system. The system includes a pump assembly comprising a pump mechanism having an inlet side and an outlet side, wherein the inlet side is configured to fluidly couple to a fluid supply. The system further includes a pressure sensor operably coupled to the outlet side and configured to measure a fluid pressure at the outlet side. An actuator mechanically is coupled to the pump mechanism to drive the pump mechanism. A controller is coupled to the pressure sensor, wherein the controller is configured with a preselected set of fluid pressure set points and one or more preselected sets of fluid flow rates and wherein the controller is further configured to control the actuator to increase a fluid flow rate to a first flow rate in the preselected set of fluid flow rates when the fluid pressure at the outlet side falls to a lower one of corresponding fluid pressure set point in the preselected set of fluid pressure set points.

Abstract: A transfer key system for a vehicle may include a key receptacle configured to detect the presence of a transfer key, and a controller configured to receive key status signals from the key receptacle, and activate the transfer key as an active transfer key in response to the status signal indicating a removal of the transfer key from the key receptacle and receiving an authentication signal from a user.

Abstract: A capacitive imaging glove includes electrodes implemented throughout the capacitive imaging glove and drive-sense circuits (DSCs) such that a DSC receives a reference signal generates a signal based thereon. The DSC provides the signal to a first electrode via a single line and simultaneously senses it. Note the signal is coupled from the first electrode to the second electrode via a gap therebetween. The DSC generates a digital signal representative of the electrical characteristic of the first electrode. Processing module(s), when enabled, is/are configured to execute operational instructions (e.g., stored in and/or retrieved from memory) to generate the reference signal, process the digital signal to determine the electrical characteristic of the first electrode, and process the electrical characteristic of the first electrode to determine a distance between the first electrode and the second electrode, and generate capacitive image data representative of a shape of the capacitive imaging glove.

Abstract: A system and method provides a route and turn-by-turn directions based on estimates of current and future traffic along the route. A client device may request turn-by-turn directions between an initial and a final location. A server may identify a plurality of routes between the locations. Each route of the plurality of routes may be divided into route segments. For each route segment of a particular route, the server may estimate a travel time. The travel time may be based on estimated vehicle volume data generated from information received from other users vehicle Based on the estimated travel time for each route segment of a particular route, the server may estimate a total travel time for the particular route. The server may repeat this estimate for each of the plurality of routes between the locations and select the route with the lowest estimated travel time. Based on the selected route, the server may generate turn-by-turn directions and transmit the directions to the client device for display.

Abstract: A tracking system and method for tracking tools in and nearby a transportation vehicle is provided. The tracking system comprises a vehicle-based detection unit for optically acquiring tool sets in the vehicle loading space from different angles and providing digital image data as well as corresponding range information. An electronic main controller unit is operatively coupled to a communication receiving unit and communicates with the vehicle-based detection unit and a cloud-based computer system of the tracking system. A mobile computing unit includes an optical camera and a LIDAR sensor device and wirelessly communicates with the electronic main controller unit and the cloud-based computer system. The tool detection and tracking is accomplished by combining an image-based detection employing an artificial neural network in the cloud-based computer system and a signal-based detection employing the short-range wireless network communication means.

Abstract: The invention describes an infrared imaging assembly (1) for capturing an infrared image (M0, M1) of a scene (S), comprising an infrared-sensitive image sensor (14); an irradiator (10) comprising an array of individually addressable infrared-emitting LEDs, wherein each infrared-emitting LED is arranged to illuminate a scene region (S1, . . . , S9); a driver (11) configured to actuate the infrared irradiator (10) by applying a switching pulse train (T1, . . . , T9) to each infrared-emitting LED; an image analysis module (13) configured to analyse a preliminary infrared image (M0) to determine the required exposure levels (130) for each of a plurality of image regions (R1, . . . , R9); and a pulse train adjusting unit (12) configured to adjust the duration (L1, . . . , L9) of a switching pulse train (T1, . . . , T9) according to the required exposure levels (130).