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: Methods and systems are provided for communicating trailer information from a trailer to a vehicle. In one embodiment, the method includes: a plurality of zone-based modules configured to communicate with at least one of sensors and actuators of a vehicle; and at least one command center module configured to communicate with the plurality of zone-based modules. The at least one of the plurality of zone-based modules includes a configuration sub-module configured to, by a processor, facilitate communication of the trailer information from the trailer to at least one other of the plurality of zone-based modules. Each of the plurality of zone-based modules includes a configuration sub-module configured to, by a processor, facilitate communication of the trailer information between the plurality of zone-based modules.

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: 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: 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 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: 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: 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: 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: 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 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: In various embodiments, methods and systems are provided for processing camera data from a camera system associated with a vehicle. In one embodiment, a method includes: storing a plurality of photorealistic scenes of an environment; training, by a processor, a machine learning model to produce a surround view approximating a ground truth surround view using the plurality of photorealistic scenes as training data; and processing, by a processor, the camera data from the camera system associated with the vehicle based on the trained machine learning model to produce a surround view of an environment of the vehicle.

Abstract: A vehicle sensor assembly includes a panel having a first side and a second side. The vehicle sensor assembly also includes a beam spaced from the panel relative to the second side. The vehicle sensor assembly further includes a mount including a first portion fixed to the beam. In addition, the vehicle sensor assembly includes a sensor coupled to the mount. The mount includes a second portion coupled to the first portion and the sensor is fixed to the second portion to define a subassembly unit. The subassembly unit is movable relative to the first portion in response to a force applied to the first side of the panel which causes the second side of the panel to engage part of the mount to move the subassembly unit. A sensor-mount assembly includes the beam, the mount, and the sensor coupled to the mount.

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: A vehicle, and a method and system for operating the vehicle. The system includes a processor. The processor receives a driver input at the vehicle, determines a current lateral force on a tire of the vehicle for the driver input, determines a desired yaw rate and lateral velocity for the vehicle based on the current lateral force on the tire that operates the vehicle at a maximum yaw moment, and operates the vehicle at the desired yaw rate and lateral velocity.