Abstract: A head up display (HUD) system includes: one or more light sources and one or more phase modulators configured to generate and output a hologram; and a replicator configured to receive the hologram, to generate N replications of the hologram from the hologram, and to output the N replications of the hologram, where N is an integer greater than or equal to 2.

Abstract: A sulfide-impregnated solid-state battery is provided. The battery comprises a cell core constructed by basic cell units. Each unit comprises a positive electrode comprising a cathode layer and a positive meshed current collector comprising a conductive material which is further coated by oxide-based solid-state electrolyte. The cell unit further comprises a negative electrode comprising an anode layer and a negative meshed current collector comprising a conductive material which is further coated by oxide-based solid-state electrolyte. The positive and negative electrodes are stacked together to form the cell unit. The two coated oxide-based solid electrolyte layers are disposed between the positive and negative electrode as dual separators. Such a cell unit may be repeated or connected in parallel or bipolar stacking to form the cell core to achieve a desired battery voltage, power and energy. The cell core comprises a sulfide-based solid-state electrolyte dispersed in the pore structures of cell core.

Abstract: An autonomous vehicle (AV) includes a radar sensor system and a computing system that computes velocities of an object in a driving environment of the AV based upon radar data that is representative of radar returns received by the radar sensor system. The AV can be configured to compute a first velocity of the object based upon first radar data that is representative of the radar return from a first time to a second time. The AV can further be configured to compute a second velocity of the object based upon second radar data that includes at least a portion of the first radar data and further includes additional radar data representative of a radar return received subsequent to the second time. The AV can further be configured to control one of a propulsion system, a steering system, or a braking system to effectuate motion of the AV based upon the computed velocities.

Abstract: A post-build powder removal system includes a work bed, a platform wall having at least one powder evacuation port, and an evacuation port sealing system operable for selectively closing and opening the powder evacuation port. The platform wall cooperates with the work bed to define a powder chamber. The evacuation port sealing system includes an external sleeve slidingly fitted onto the exterior surface of the platform wall such that the external sleeve is slideable in a first direction closing the at least one powder evacuation port and slideable in an opposite second direction opening the at least one powder evacuation port.

Abstract: An engine control system for an engine includes: a pump control module configured to control a coolant pump; a block control module configured to control opening of a block valve; a fuel control module configured to control fueling of the engine; a coolant control module configured to control a position of a coolant valve; and an adjustment module configured to, when the coolant pump is pumping, the block valve is open, and the coolant valve is positioned such that an input is connected to an output, adjust the fueling of the engine such that fueling of the engine is fuel rich.

Abstract: In various embodiments, methods, systems, and vehicles are provided controlling a vehicle. In an exemplary embodiment, a method includes: monitoring an eye gaze of a driver of the vehicle; monitoring current traffic conditions surrounding the vehicle; predicting an intention of the driver to perform a lane change maneuver based on the eye gaze, a history of the eye gaze of the driver, and the current traffic conditions; and controlling, by the processor, the vehicle based on the predicted intention of the driver to perform a lane change maneuver.

Abstract: A vehicle cargo mat system includes a cargo mat configured to fit within an automobile vehicle storage area. Multiple retention members are connected to the cargo mat and are adapted to individually releasably connect to one of multiple attachment members fixed to the automobile vehicle within the storage area. The cargo mat is further configured to extend into at least four optional positions including: a first position extending across a width of the storage area at an outward facing end of the storage area; a second position having the cargo mat laid flat to substantially cover a lower floor of the storage area; a third position having the cargo mat extended over the storage area to cover objects temporarily stored within the storage area; and a fourth position having the cargo mat extended outward from the storage area to at least partially cover a fascia of the automobile vehicle.

Abstract: A diagnostic system of a vehicle includes: a diagnostic port configured to: connect to a diagnostic device; and receive a request for data from the vehicle from the diagnostic device; a private module connected to a controller area network (CAN) bus of the vehicle and to the diagnostic port; a public communication module configured to wirelessly connect to computing devices within a passenger cabin of the vehicle, where the public communication module is partitioned from the CAN bus of the vehicle; a second module connected to the private module; and an automotive audio bus (A2B) connecting the second module with the public communication module, where the second module is configured to selectively read data from the public communication module via the A2B in response to the request.

Abstract: An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data and outputting directional audible, tactile or visual feedback, via an output system, to a rider of the motorcycle based on the detected object data.

Abstract: Methods and apparatus are provided for diagnosing a vehicle. In one embodiment, a method includes: initiating, by a processor, a recording of a noise by at least one microphone based on user selection data from a user of the vehicle; receiving, by the processor, audio signal data based on the recording; generating, by the processor, vector data based on the audio signal data; processing, by the processor, the vector data with at least one trained machine, by the processor, learning model to determine a classification of the noise; predicting, by the processor, an action to be taken based on the classification; and storing, by the processor, the audio signal data, the classification, and the action in a datastore.

Abstract: There is disclosed herein examples of a vehicle container unit that may be mounted within a vehicle. The vehicle container unit may be mounted to a seat of a vehicle and may include space for transporting items within the vehicle container unit. The vehicle container unit may mount to the seat via an anchor system of the seat.

Abstract: In an exemplary embodiment, a system is provided that includes a sensor, a computer memory, and a processor. The sensor is configured to be disposed on a vehicle, and is configured to obtain sound or vibration data for the vehicle. The computer memory is configured to store a plurality of known signatures pertaining to a plurality of different types of vehicle theft events. The processor is configured to: compare a signature of the data with the plurality of known signatures stored in the computer memory; and determine whether a vehicle theft event is occurring based on the comparing of the signature of the data with the plurality of known signatures.

Abstract: An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, determining an approaching vehicle threat based on the detected object data, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle indicating the approaching vehicle threat.

Abstract: A method for updating a map including receiving a first image depicting a geographical area including a first roadway and an occluded area, determining a location of the first roadway segment in response to the first image, receiving a plurality of vehicle telemetry data associated with the first roadway segment and a second roadway segment within the occluded area, updating a map data with the location of the first roadway, determining a location of the occluded area in response to the first image and the plurality of vehicle telemetry data associated with the second roadway segment, requesting an alternate data in response to determination of the location of the occluded area, determining a location of a second roadway segment in response to the alternate data wherein the second roadway segment was occluded in the first image, and updating the map data with the location of the second roadway segment.

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: An obstacle detection and notification system for a motorcycle. The system includes a forward looking thermal camera and a backward looking thermal camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle based on the detected object data.

Abstract: The present disclosure provides a method for forming a bipolar current collector. The method may include heating a first current collector material having a first melting point to form a molten metal or metal alloy and disposing the molten metal or metal alloy on one or more surfaces of a second current collector material having a second melting point greater than the first melting point to form the bipolar current collector. The molten metal or metal alloy may be disposed on the one or more surfaces of the second current collector material using a twin-roll casting method or a spraying method. The bipolar current collector may include a first current collector including the first current collector material, a second current collector including the second current collector material, and an inter-diffusion layer that connects the first current collector and the second current collector.

Abstract: An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, defining a blind spot region around one or more other vehicles using the detected object data, determining whether the motorcycle is located in the blind spot region, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle when the motorcycle is determined to be located in the blind spot region.

Abstract: An apparatus and method for tracking a battery cell is disclosed, for a device having one or more sensors and a controller with a processor and tangible, non-transitory memory. The method includes obtaining respective sensor data relative to an anode and a cathode. A predicted anode capacity and predicted cathode capacity are determined based on the respective sensor data. The predicted anode capacity and predicted cathode capacity each have a respective variance value. An updated set of variables and updated respective variance values are generated based in part on the predicted anode capacity, the predicted cathode capacity and a measured equilibrium voltage, via a Kalman filter module executed by the controller. The updated set of variables include an updated anode capacity and an updated cathode capacity. Operation of the device is controlled based in part on the updated set of variables and updated respective variance values.

Abstract: Systems, methods, and devices are disclosed for predicting behaviors of objects (vehicles, bicycles, pedestrians, etc.) at a location. A model descriptive of a possible object behavior can be received by an autonomous vehicle, where the model provides conditional predictions about a future behavior of an object based on a position of the object in a lane. The autonomous vehicle can detect the position of a specific object in the lane, and the model can then be applied to determine probabilities of a future behavior of the specific object.