Abstract: A model training and implementation pipeline trains models for individual embedded systems. The pipeline iterates through multiple models and estimates the performance of the models. During a model generation stage, the pipeline translates the description of the model together with the model parameters into an intermediate representation in a language that is compatible with a virtual machine. The intermediate representation is agnostic or independent to the configuration of the target platform. During a model performance estimation stage, the pipeline evaluates the performance of the models without training the models. Based on the analysis of the performance of the untrained models, a subset of models is selected. The selected models are then trained and the performance of the trained models are analyzed. Based on the analysis of the performance of the trained models, a single model is selected for deployment to the target platform.

Abstract: A parallel processing system includes at least three parallel processors, state monitoring circuitry, and state reload circuitry. The state monitoring circuitry couples to the at least three parallel processors and is configured to monitor runtime states of the at least three parallel processors and identify a first processor of the at least three parallel processors having at least one runtime state error. The state reload circuitry couples to the at least three parallel processors and is configured to select a second processor of the at least three parallel processors for state reload, access a runtime state of the second processor, and load the runtime state of the second processor into the first processor. Monitoring and reload may be performed only on sub-systems of the at least three parallel processors. During reload, clocks and supply voltages of the processors may be altered. The state reload may relate to sub-systems.

Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

Abstract: A deformation detection apparatus includes a cell movement-control assembly to handle a linear motion and a rotational motion of a battery cell, a body that supports the cell movement-control assembly, a digital micrometer, and control circuitry. The control circuitry controls a displacement of the battery cell between a first position and a second position along a longitudinal axis through a scanning region of the digital micrometer and a plurality of rotational positions of the battery cell at a plurality of charge states and a plurality of discharge states. The control circuitry measures a plurality of outer diameter values of the battery cell for a plurality of linear positions and a plurality of rotational positions along the longitudinal axis of the battery cell and determines a change in a geometrical shape (deformation and/or strain) of the battery cell for the plurality of linear positions and the plurality of rotational positions.

Abstract: A method of detecting a leak in a production or export system comprising a control system comprising at least one pressure transmitter is provided. The method includes detecting a flowing pressure of production fluid within the production or export system using the at least one pressure transmitter. The method also includes calculating an ambient pressure proximate to the at least one pressure transmitter. The method further includes determining an ambient zone above and below the ambient pressure proximate to the at least one pressure transmitter. The method also includes determining at least one ambient zone time, where the ambient zone time comprises a duration of time that the flowing pressure is within the ambient zone and the flowing pressure is proximate the ambient pressure. The method further includes determining a probability of a leaking in the production or export system based on the ambient zone time.

Abstract: A system for dynamically managing individual suspension settings for a vehicle based on a determined suspension mode is provided. Based on the user input and obtained sensor input, the system can then determine a suspension mode for a plurality of individually controllable components by specifying values or commands for each controllable component. A first mode may correspond to a lowering of the plurality of controllable. A second mode may correspond to lowering two controllable components corresponding to the rear wheels of the vehicle and raising two controllable components corresponding to front wheels of the vehicle. A third mode may correspond to a lowering of the plurality of controllable components to effectively drop the height of the vehicle to a threshold point. The system may further implement various validation processes that can validate the determined suspension mode and make further adjustment to individual controllable portions based on load or ground measurements.

Abstract: A vehicle comprising a compressor and a manifold physically and fluidly coupled to the compressor.

Abstract: Aspects of the present application correspond to utilization of a set of inputs from vision systems to generate simulations or predicted paths of travel for dynamic objects detected from the vision systems. Illustratively, a service can process the set of inputs (e.g., the associated ground truth label data) collected from one or more vision systems (or additional services) to identify predicted paths of travel for any dynamic objects detected from the captured vision system information. Typically, a plurality of predicted paths of travels can be generated such that more than one path of travel may be considered to meet or exceed a minimal threshold. The resulting predicted paths of travel can be further associated with confidence values that characterize the likelihood that any one predicted path of travel for a detected dynamic object will occur.

Abstract: Aspects of the present application correspond to utilization of a combined set of inputs from simulation systems to generate or train machine learned algorithms for utilization in vehicles with vision system-only based processing. Aspects of the present application correspond to utilization of a set of inputs from sensors or sensing systems and simulation systems to create updated training sets for use in machine learning algorithms. The combined set of inputs includes a first set of data corresponding to vision system from a plurality of cameras configured in a vehicle. The combined set of inputs further includes a second set of data corresponding to simulated content systems that generate additional training set data including visual images and data labels to supplement the vision system data.

Abstract: The present invention relates to a system for decontaminating an object. The system comprises a power source, and at least one decontamination area, which includes one or more light sources that emit UV-C radiation to decontaminate the object's surface. In one embodiment, the device comprises the power source; and the at least one decontamination area. In another embodiment, the object comprises the power source; and the at least one decontamination area. In this embodiment, the object further includes a contact area which can become contaminated; and the decontamination area is located within another portion of the object, and is accessible only when the object has undergone a transformation from one use state to another.

Abstract: Systems and methods for adapting a neural network model on a hardware platform. An example method includes obtaining neural network model information comprising decision points associated with a neural network, with one or more first decision points being associated with a layout of the neural network. Platform information associated with a hardware platform for which the neural network model information is to be adapted is accessed. Constraints associated with adapting the neural network model information to the hardware platform are determined based on the platform information, with a first constraint being associated with a processing resource of the hardware platform and with a second constraint being associated with a performance metric. A candidate configuration for the neural network is generated via execution of a satisfiability solver based on the constraints, with the candidate configuration assigns values to the plurality of decision points.

Abstract: Aspects of the present application correspond to utilization of a combined set of inputs to generate or train machine learned algorithms for utilization in vehicles with vision system-only based processing. A network service can receive a first set of inputs (e.g., a first data set) from a target vehicle including captured vision system data at a first point in time. The network service can receive a second set of inputs (e.g., a second data set) from the target vehicle including captured vision system data at a second point in time. The second point in time is subsequent to the first point in time. Based on the second set of ground truth labels and values, the network service can then determine or derive labels and associated values for the first set of ground truth labels and values.

Abstract: A vehicle seat includes a seating portion and a backrest portion coupled to the seating portion. The seat also includes a temperature-control system associated with at least one of the seating portion and the backrest portion. The temperature-control system includes a base layer and an intermediate layer disposed adjacent to the base layer. The intermediate layer is adapted to allow fluid to flow through it. The temperature-control system includes a cover layer disposed adjacent to the intermediate layer. The temperature-control system includes at least one heating element disposed between the intermediate layer and the cover layer. The temperature-control system further includes a fluid pump to provide fluid flow through the intermediate layer.

Abstract: A system for dynamically managing individual suspension settings for a vehicle based on a determined suspension mode is provided. Based on the user input and obtained sensor input, the system can then determine a suspension mode for a plurality of individually controllable components by specifying values or commands for each controllable component. A first mode may correspond to a lowering of the plurality of controllable. A second mode may correspond to lowering two controllable components corresponding to the rear wheels of the vehicle and raising two controllable components corresponding to front wheels of the vehicle. A third mode may correspond to a lowering of the plurality of controllable components to effectively drop the height of the vehicle to a threshold point. The system may further implement various validation processes that can validate the determined suspension mode and make further adjustment to individual controllable portions based on load or ground measurements.

Abstract: A vehicular autonomous driving system includes a time division multiplexed (TDM) bus, an autonomous driving (AD) controller coupled to the TDM bus, and a plurality of AD sensors coupled to the TDM bus. The AD sensors are configured to collect AD data and transmit collected AD data to the AD controller on the TDM bus in an assigned time slot at a first power level. A first AD sensor of the plurality of AD sensors is configured to, based upon collected AD data, detect an AD emergency event. In response to the detection, the first AD sensor is configured to transmit an AD emergency message on the TDM bus in a non-assigned time slot and at a second power level that exceeds the first power level. The AD sensor may transmit the AD emergency message in a particular sub-slot of the non-assigned time slot.

Abstract: Improved battery systems have been developed for lithium-ion based batteries. The improved battery systems consist of two-additive mixtures in an electrolyte solvent that is a carbonate solvent, an organic solvent, a non-aqueous solvent, and/or methyl acetate. The positive electrode of the improved battery systems may be formed from lithium nickel manganese cobalt compounds, and the negative electrode of the improved battery system may be formed from natural or artificial graphite.

Abstract: Exemplary systems may reduce or eliminate the visibility of a boundary between the displaying portions of the system and the non-displaying portions of the system. An exemplary system includes a display screen including a plurality of pixels forming a first periodic structure and a frame surrounding at least a portion of the display screen. The frame may include a holographic structure having a second periodic structure. The first pitch of the first periodic structure may be within 0.5 percent to 20 percent of the second pitch of the second periodic structure.

Abstract: A microprocessor system comprises a computational array and a vector computational unit. The computational array includes a plurality of computation units. The vector computational unit is in communication with the computational array and includes a plurality of processing elements. The processing elements are configured to receive output data elements from the computational array and process in parallel the received output data elements.

Abstract: A stator for an electric motor is described. An example stator includes a stator core having teeth that are radially arranged about a common central axis of the stator and located in a spaced apart manner from one another. Each tooth has an inward portion and an outward portion. The example stator further includes an electrically transmissive coil of wire that is wound contiguously upon the inward portions of at least a subset of teeth from the plurality of teeth. The stator also includes wedge members that are radially arranged about the common central axis and located intermittently with the plurality of teeth such that each wedge member abuts with the outward portions of adjacently located teeth.

Abstract: A truck bed cover integrated in a vehicle (e.g., a truck), configured to move through an opening formed between a cab and a truck bed, and along a set of channels on the truck bed. The vehicle includes a motor engaged with the truck bed cover and configured to enable an automated movement of the truck bed cover along the set of channels. The vehicle in one embodiment is an electric truck configured to run off a battery pack stored within the electric truck. The truck bed cover includes a plurality of movable portions, the plurality of movable portions linked together in a flexible format.