Abstract: A system includes a current sensor disposed proximate to a first conductor of a conductor assembly, the current sensor configured to measure a current through the first conductor and generate a first current measurement. The system also includes a correction module configured to perform a correction method. The correction method includes determining a frequency of the first current measurement, and applying a gain correction factor to the first current measurement, the gain correction factor based on pre-characterization data relating a gain of a reference current sensor to frequency. In addition, or alternatively, the correction method includes determining a first phase of the first current measurement, acquiring a second current measurement of a second conductor of the conductor assembly, determining a second phase of the second current measurement, and applying a current adjustment to the first current measurement based on a temporal relationship between the first phase and the second phase.

Abstract: A method of reforming a negative electrode layer of a secondary lithium battery may include execution of a reforming cycle that reforms a major facing surface of the negative electrode layer by eliminating at least a portion of a lithium dendrite or other lithium-containing surface irregularity that has formed on the major facing surface of the negative electrode layer.

Abstract: A clearance risk detection system is provided in a vehicle. The clearance risk detection system is configured to: identify a terrain object in a vehicle travel path; classify the terrain object based on whether the host vehicle can clear the terrain object or cannot clear the terrain object; provide a first indicator that indicates that the host vehicle can clear the terrain object when appropriate; provide a second indicator that indicates that the host vehicle can clear the terrain object with a suggested raising of vehicle ride height when appropriate; automatically raise the vehicle ride height when appropriate; and provide a third indicator that indicates that the host vehicle cannot clear the terrain object even with raising vehicle ride height when appropriate.

Abstract: A system for controlling propulsion in a vehicle includes a switching system connected to a battery system and a propulsion system. The battery system includes a first battery assembly and a second battery assembly, the propulsion system includes a first drive unit and a second drive unit, and the switching system includes a first switching device configured to selectively connect the first drive unit to the battery system and a second switching device configured to selectively connect the second drive unit to the battery system. The first switching device and the second switching device are independently operable. The system also includes a controller configured to operate the switching system to vary a voltage applied to at least one of the first drive unit and the second drive unit during vehicle propulsion.

Abstract: Autonomous vehicles are tested and evaluated on the road and in simulated road environments. When testing and evaluating autonomous vehicles in a simulated road environment, having detailed three-dimensional geometries and characteristics of road surfaces in the form of road model data can greatly improve a simulated environment's ability to test and evaluate vehicle controls and dynamics, and can generate a more accurate pose for the autonomous vehicle in simulation. However, generating road model data is computationally expensive, and it is not desirable to generate road model data for an entire map to cover all test scenarios. An optimizer can reduce the amount of resources needed by selecting a least number of map sections to be generated and determining the locations of the map sections to be generated that achieves a desired coverage amount for the test suite.

Abstract: Methods and systems are provided for improving a Driver Monitoring System (DMS) of a vehicle. The system includes a controller in operable communication with the DMS of the vehicle. The controller is configured to, by a processor: receive a signal from the DMS that a camera of the DMS is unable to monitor a driver of the vehicle, determine a cause of the camera being unable to monitor the driver, and adjust an escalation algorithm of the DMS based on the determined cause of the camera being unable to monitor the driver. The escalation algorithm is configured to perform actions based on activity of the driver.

Abstract: A system for filtering RADAR data includes one or more graphical processing units (GPUs) for performing steps of a filtering process in parallel. For example, a first GPU or first portion of GPU circuitry calculates a threshold parabola for a tensor of RADAR data. In parallel, a second GPU or second portion of GPU circuitry separately reduces and indexes the tensor for comparison to the threshold parabola. The threshold parabola is compared to reduced and indexed data to filter the RADAR data. Importance sampling can also be used to reduce data, e.g., if the RADAR data includes four dimensions (range, Doppler, azimuth, and elevation).

Abstract: Systems and methods for generating three-dimensional (3D) animation from real-world road data are provided. For instance, a computer-implemented system comprising one or more processing units; and one or more non-transitory computer-readable media storing instructions, when executed by the one or more processing units, cause the one or more processing units to perform operations comprising obtaining real-world road data including a sequence of images of a real-world driving environment across a time period, the sequence of images including at least one moving character in the real-world driving environment; generating a sequence of skeletal data representing the moving character and corresponding movements across the time period by processing the real-world road data; and outputting a motion library including the sequence of skeletal data.

Abstract: A method for end-to-end event flows includes storing a file associated with a source event at a source storage location in a source edge device, uploading the file to a cloud device, storing the file at a cloud storage location, generating a cloud event by changing a file path referenced in the source event to point to the cloud storage location of the file, and transferring the cloud event to the cloud device. The method includes transferring the cloud event to a destination edge device, downloading the file to the destination edge device, generating a destination event by changing the file path referenced in the cloud event to point to a destination storage location of the file, publishing an availability of the file in the destination edge device to multiple destination subscribers, and transferring the file from the destination storage location to one or more destination subscribers.

Abstract: Systems and methods using different mesh fidelities for different sensor modalities in a vehicle simulation are provided. For instance, a computer-implemented system includes one or more processing units; and one or more non-transitory computer-readable media storing instructions, when executed by the one or more processing units, cause the one or more processing units to perform operations including generating synthetic sensor data based on low-fidelity mesh data representing an object; generating a synthetic driving scene including the object, the generating the synthetic driving scene is based at least in part on high-fidelity mesh data representing the object; and executing a vehicle compute process based on the synthetic driving scene and the synthetic sensor data.

Abstract: A supervisory computer is used with an energy management system of an electric vehicle. The energy management system includes a battery system having a plurality of battery subsystems. One of the battery subsystems is an abnormal battery subsystem while the remaining battery subsystems are normal battery subsystems. The supervisory computer includes at least one processor and at least one non-transitory computer-readable medium. The processor monitors the remaining state of charge, capacity, and resistance of the battery system and monitor the remaining state of charge and capacity of the abnormal battery subsystem, calculate a low integration bound value, calculate a remaining energy value for all of the normal battery subsystems with respect to the low integration value, calculate a remaining energy value for the abnormal battery subsystem, and summate the remaining energy values of the normal and abnormal battery subsystems to determine a global remaining energy value for the battery system.

Abstract: Various technologies described herein pertain to routing autonomous vehicles based upon spatiotemporal factors. A computing system receives an origin location and a destination location of an autonomous vehicle. The computing system identifies a route for the autonomous vehicle to follow from the origin location to the destination location based upon output of a spatiotemporal statistical model. The spatiotemporal statistical model is generated based upon historical data from autonomous vehicles when the autonomous vehicles undergo operation-influencing events. The spatiotemporal statistical model takes, as input, a location, a time, and a direction of travel of the autonomous vehicle. The spatiotemporal statistical model outputs a score that is indicative of a likelihood that the autonomous vehicle will undergo an operation-influencing event due to the autonomous vehicle encountering a spatiotemporal factor along a candidate route.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: receiving, by the controller, first return data detected by a first detector of a lidar device as a result of a first laser pulse or chirp; receiving, by the controller, second return data detected by a second detector of the lidar device as a result of a second laser pulse or chirp; combining, by the controller, the first return data and the second return data to form a point cloud; and controlling, by the controller, the vehicle based on the point cloud.

Abstract: Described herein are various technologies that pertain to controlling an AV based upon forward-looking observations of road surface behavior. With more specificity, technologies described herein pertain to controlling maneuvering of an AV in a region of a driving environment based upon an observed acceleration of an object in that region of the driving environment. A plurality of positions of an object in the driving environment are determined from output of sensors mounted on the AV. An acceleration of the object is computed based upon the positions. The AV is subsequently controlled based upon the computed acceleration.

Abstract: A method of forming a balancing scallop within a rotating part, including inspecting the rotating part for imbalance, calculating dimensions of the balancing scallop to be formed within the rotating part, positioning the rotating part relative to a material removal machine, starting the tool removal machine, bringing the rotating part and a tool of the material removal machine into engagement, forming a first section of the balancing scallop, forming a second section of the balancing scallop, forming a third section of the balancing scallop, and dis-engaging the rotating part and the tool of the material removal machine.

Abstract: The present disclosure provides a method of preparing a coated electroactive material. The method includes providing a plurality of particles including an electroactive material. The method further includes coating the plurality of particles with a conductive polymer. The coating includes preparing a solution of water and the conductive polymer. The coating further includes forming a slurry by combining the solution with the plurality of particles. The method further includes drying the slurry to form the coated electroactive material. The coated electroactive material includes the plurality of particles. Each of the plurality of particles is at least partially coated with the conductive polymer. In certain aspects, the present disclosure provides a method of preparing an electrode including the coated electroactive material.

Abstract: Various technologies described herein pertain to detecting data in a lidar point cloud representative of vapor and controlling an autonomous vehicle based on such detection. The lidar point cloud is outputted by a lidar sensor system of the autonomous vehicle. The techniques set forth herein utilize dual return lidar data outputted by the lidar sensor system. The dual return lidar data includes two lidar returns received responsive to a light beam emitted (e.g., at a particular azimuthal angle) by the lidar sensor system into a driving environment of the autonomous vehicle. The data in the lidar point cloud detected as being caused by vapor can be removed from downstream processing; accordingly, the autonomous vehicle can be controlled such that the autonomous vehicle need not stop for or maneuver around vapor in the driving environment.