Abstract: A vehicle panel includes an outer panel layer formed from a first material. The outer panel layer includes a first side, a second side, and a peripheral edge. A second panel joining surface is arranged inwardly of the peripheral edge. An inner panel layer formed from a second material that is distinct from the first material is arranged across the second side. The second panel includes a first side portion, a second side portion, and a peripheral edge portion. A panel bonding layer is joined to the peripheral edge portion. The panel bonding layer is formed from a third material that is distinct from the second material. A bonding material is disposed between the second panel joining surface and the panel bonding layer creating a chemical bond between the panel bonding layer and the second panel joining surface.

Abstract: Systems and methods are provided for vehicle braking, collision, or braking and collision simulations. The systems include a seat platform configured to be secured within a vehicle such that the seat platform is located on or above a seat of the vehicle, the seat platform configured to be controllably displaced relative to the vehicle seat in at least a forward direction towards the front of the vehicle while having a passenger disposed on the seat platform during a deceleration simulation that includes displacing the seat platform having the passenger disposed thereon from an initial position toward the front of the vehicle, one or more sensors configured to gather sensor data indicative of spatial characteristics of the passenger during the deceleration simulation, wherein at least one of the sensors is a sensor of the vehicle.

Abstract: Systems and method are provided for carwash detection and entry assistance of a vehicle. A system includes a controller that operates to identify the presence of the vehicle at a wash facility, and to determine whether an operator of the vehicle has accepted entry assistance. When the operator has accepted entry assistance, the controller prepares the vehicle for entering the wash facility, determines a path into the wash facility, and assists the operator in entering the vehicle into the wash facility via the path.

Abstract: Methods and systems are provided for controlling an automated exit of a vehicle from a parking spot that include sensors configured to obtain sensor data pertaining to the parking spot and lanes of a roadway in proximity to the parking spot, including a respective direction of flow of traffic; and processors coupled to the sensors and configured to at least facilitate selecting a lane for the vehicle to enter upon exiting the parking spot, based at least in part on the direction of flow of traffic; selecting a turn for the vehicle to make such that the vehicle is travelling in the same direction as the direction of flow of traffic; and executing the automated exit of the vehicle from the parking spot into the selected lane by making the selected turn of the vehicle into the selected lane.

Abstract: Systems and methods are provided for detecting unclassified hazards for a driver assistance system of a vehicle. The systems include a data storage device comprising map data, one or more sensors configured to generate sensor data indicative of one or more sensed objects in proximity to the vehicle, and a controller configured to, by one or more processors thereof, receive the map data and the sensor data, filter the sensor data to omit at least one of the sensed objects located outside of a bounding area that includes a portion of an adjacent lane next to a current lane in which the vehicle is operating, determine whether an unclassified hazard is present in the adjacent lane, and maintain operation of the vehicle in the current lane in response to a determination that the unclassified hazard is present in the adjacent lane.

Abstract: A method for open-vocabulary query-based dense retrieval is provided. The method includes monitoring camera data including an image related to an object and referencing a set of queries, each of the queries describing a candidate object to be updated by a remote server device. An encoder of an open-vocabulary pre-trained vision-language model system is utilized to initialize a predefined embedding for each query, and a classifier is initialized by mapping the predefined embeddings to weights of the classifier. The method further includes applying a dense open-vocabulary image encoder on the camera data to create a mass of dense embeddings including a set of spatially-arranged embeddings for the image, each including a matrix including embedding vectors. The classifier is utilized by applying the classifier to the plurality of embedding vectors to classify the object within the operating environment as an identified object. The method further includes publishing the identified object.

Abstract: An electric drive system of a motor vehicle or another battery electric system includes a power inverter module (PIM) connected to a DC power supply, an alternating current (AC) motor connected to the PIM and to a load, and a controller. The motor is a salient machine. Control logic of the controller includes a plant model of the electric drive system. The plant model includes an asymmetric time constant of the motor. The controller selectively modifies the asymmetric time constant via selective and independent operating point-specific manipulation of direct axis (d-axis) and quadrature axis (q-axis) inductance and resistance. The asymmetric time constant is virtually translated in the control logic into a symmetric modified time constant by manipulating or adding virtual inductive and virtual resistive terms independently and per operating point. The controller controls the motor at the operating point using the symmetric modified time constant.

Abstract: Vehicles and related systems and methods are provided for predicting a future maneuver expected to be executed by a driver. One method involves determining a combined probability for a potential maneuver based on constituent probabilities corresponding to different vehicle state variables, and environmental conditions using one or more tuning parameters specific to the respective combination of maneuver and vehicle state variable, determining an adjusted probability for the potential maneuver based at least in part on the combined probability and one or more contextual state variables corresponding to a current operating context for the vehicle, adapted to driver behavior and driving style, identifying the potential maneuver as an expected maneuver to be executed by a driver of the vehicle based on the adjusted probability, and automatically initiating one or more actions in a manner that is influenced by the expected maneuver.