Abstract: A system for notifying an occupant of a vehicle of unauthorized interaction with his or her possessions includes one or more cameras that collect image data of a surrounding environment of the occupant. The surrounding environment of the occupant is an interior cabin of the vehicle. The system also includes one or more controllers in electronic communication with the one or more cameras, the one or more controllers execute instructions to monitor, by the one or more cameras, the image data of the surrounding environment of the occupant. In response to detecting the unauthorized interaction with the one or more possessions associated with the occupant, the one or more controllers generate a notification informing the occupant of the unauthorized interaction.

Abstract: An automated driving system includes an object detection system. A neural network image encoder generates image embeddings associated with an image including an object. A neural network text encoder generates concept embeddings associated with each of a plurality of concepts. Each of the plurality of concepts is associated with one of at least two object classes. A confidence score module generates a confidence score for each of the plurality of concepts based on the image embeddings and the concept embeddings associated with the concept. An object class prediction module generates a predicted object class of the object based on an association between a set of concepts of the plurality of concepts having at least two of the highest values of the generated confidence scores and the one of the at least two object classes associated with a majority of the set of concepts.

Abstract: A system for providing information to an occupant of a vehicle includes at least one vehicle sensor for determining information about an environment surrounding the vehicle, a display for providing information to the occupant, and a controller in electrical communication with the at least one vehicle sensor and the display. The controller is programmed to identify at least one driving rule associated with at least one portion of the environment surrounding the vehicle using the at least one vehicle sensor, determine an applicability state of the at least one driving rule, where the applicability state includes an applicable state and a non-applicable state, and display a graphic using the display in response to determining that the applicability state of the at least one driving rule is the applicable state.

Abstract: A system for determining when additional information is needed by a passenger with color deficient vision within a vehicle includes a plurality of perception sensors within the vehicle adapted to collect data related to a physical identity of a primary object and to communicate the data related to the physical identity of the primary object, via a communication bus, to a data processor within the vehicle, the data processor adapted to determine that the physical identity of the primary object may be unclear to a passenger with color deficient vision based on the data related to the physical identity of the primary object, and that assistance should be provided to the passenger with color deficient vision to aid the passenger with color deficient vision in identifying the primary object.

Abstract: A system for determining when additional information is needed by a passenger with color deficient vision within a vehicle includes a plurality of perception sensors within the vehicle adapted to collect data related to a physical identity of a primary object and to communicate the data related to the physical identity of the primary object, via a communication bus, to a data processor within the vehicle, the data processor adapted to determine that the physical identity of the primary object may be unclear to a passenger with color deficient vision based on the data related to the physical identity of the primary object, and that assistance should be provided to the passenger with color deficient vision to aid the passenger with color deficient vision in identifying the primary object.

Abstract: A system for displaying information for an occupant of a vehicle includes a plurality of vehicle sensors, a display, and a controller in electrical communication with the plurality of vehicle sensors and the display. The controller is programmed to detect a remote vehicle in an environment surrounding the vehicle using the plurality of vehicle sensors, determine an intended illumination status of at least one indicator of the remote vehicle using the plurality of vehicle sensors, where the intended illumination status includes an intended lit status and an intended un-lit status, and display a graphic based at least in part on the intended illumination status of the at least one indicator of the remote vehicle using the display.

Abstract: A system for displaying information to an occupant of a vehicle includes a microphone, a camera for capturing images of an environment surrounding the vehicle, a display, and a controller in electrical communication with the microphone, the camera, and the display. The controller is programmed to receive a voice command from the occupant using the microphone, determine at least one characteristic of the requested object based on the voice command, capture an image of the environment using the camera, where the environment includes a relevant object, and to identify a location of the relevant object in the environment based at least in part on the image and the at least one characteristic of the requested object. The controller is further programmed to display a graphic based at least in part on the location of the relevant object in the environment using the display.

Abstract: An occupant output system includes at least one output device adapted to provide output directed to a single passenger, an occupant monitoring system to track location and movement of the passenger within the vehicle, at least one processor configured to execute program instructions, wherein the program instructions are configured to cause the at least one processor to receive data from the occupant monitoring system, analyze the data from the occupant monitoring system to determine if the passenger is vision-impaired, analyze the data from the occupant monitoring system to determine a location of the passenger within the vehicle and an orientation of a head of the passenger, and, when the passenger is determined to be vision impaired, generate an output for the passenger on the at least one output device, based on the location of the passenger within the vehicle and the orientation of the head of the passenger.

Abstract: A system for displaying information for a vehicle includes a plurality of vehicle sensors, a display, and a controller in electrical communication with the plurality of vehicle sensors and the display. The controller is programmed to detect a relevant traffic signal in an environment surrounding the vehicle using the plurality of vehicle sensors, receive information about the relevant traffic signal using the plurality of vehicle sensors, determine a status of the relevant traffic signal based on the received information, and display a graphic based on the status of the relevant traffic signal using the display.

Abstract: A system for notifying an occupant of a vehicle of unauthorized interaction with his or her possessions includes one or more cameras that collect image data of a surrounding environment of the occupant. The surrounding environment of the occupant is an interior cabin of the vehicle. The system also includes one or more controllers in electronic communication with the one or more cameras, the one or more controllers execute instructions to monitor, by the one or more cameras, the image data of the surrounding environment of the occupant. In response to detecting the unauthorized interaction with the one or more possessions associated with the occupant, the one or more controllers generate a notification informing the occupant of the unauthorized interaction.

Abstract: A system for communicating vehicle-specific features to one or more personal electronic devices includes one or more controllers in wireless communication with a centralized computer system including one or more database for storing the vehicle-specific features. The one or more controllers execute instructions to undergo a passive wireless interaction with the one or more personal electronic devices. The passive wireless interaction involves determining the one or more personal electronic devices are located within a predefined proximity around a vehicle without human interaction. In response to undergoing the passive wireless interaction, the one or more controllers transmit one or more vehicle-specific features to the one or more personal electronic devices, where the one or more vehicle-specific features are unique to the vehicle.

Abstract: An in-vehicle encryption system for use in a vehicle comprising a plurality of vehicle subsystems. The system comprises a security ECU module that communicates with a remote cryptographic module, the security ECU module comprising a processor and a per vehicle master secret (PVMS) value stored in the security ECU module. The security ECU module uses the PVMS value to authenticate with the remote cryptographic module and to establish an external encrypted communication link with the remote cryptographic module. The system further comprises a first subsystem ECU module that generates a first globally unique identifier (GUID) and a second subsystem ECU module that generates a second GUID. The security ECU module uses the first GUID value to establish a first encrypted communication link with the first subsystem ECU module.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive intermediate concept constraints at a neural network and train the neural network with training data, training labels, and the at least one of the data constraint, the feature constraint, or the intermediate concept constraint.

Abstract: A speech recognition method includes receiving audible data and user data. The audible data includes information about an utterance by the user. The user data includes information about movements by the user. The method further includes fusing the audible data and the user data to obtain fused data and determining at least one spoken word of the utterance based on the fused data.

Abstract: An olfactory communication system for generating aroma-based notifications to one or more occupants of a vehicle includes an aroma diffuser that emits aromas into an interior cabin of the vehicle and a controller in electronic communication with the aroma diffuser. The one or more controllers execute instructions to receive a message indicating a specific event is occurring, where the specific event is an occurrence that the one or more occupants experience while in the interior cabin of the vehicle. In response to receiving the message, the one or more controllers determine a customized aroma based on the specific event, where the customized aroma creates an odor that informs the one or more occupants of the specific event. The one or more controllers instruct the aroma diffuser to emit the customized aroma into the interior cabin of the vehicle.

Abstract: An automated driving system includes an object detection system. A neural network image encoder generates image embeddings associated with an image including an object. A neural network text encoder generates concept embeddings associated with each of a plurality of concepts. Each of the plurality of concepts is associated with one of at least two object classes. A confidence score module generates a confidence score for each of the plurality of concepts based on the image embeddings and the concept embeddings associated with the concept. An object class prediction module generates a predicted object class of the object based on an association between a set of concepts of the plurality of concepts having at least two of the highest values of the generated confidence scores and the one of the at least two object classes associated with a majority of the set of concepts.

Abstract: A system for communicating vehicle-specific features to one or more personal electronic devices includes one or more controllers in wireless communication with a centralized computer system including one or more database for storing the vehicle-specific features. The one or more controllers execute instructions to undergo a passive wireless interaction with the one or more personal electronic devices. The passive wireless interaction involves determining the one or more personal electronic devices are located within a predefined proximity around a vehicle without human interaction. In response to undergoing the passive wireless interaction, the one or more controllers transmit one or more vehicle-specific features to the one or more personal electronic devices, where the one or more vehicle-specific features are unique to the vehicle.

Abstract: A system for communicating fleet-specific features to one or more personal electronic devices includes one or more controllers in wireless communication with a centralized computer system including one or more databases for storing the fleet-specific features. The one or more controllers execute instructions to undergo a passive wireless interaction with the one or more personal electronic devices. The passive wireless interaction involves determining the one or more personal electronic devices are located within a predefined proximity around a vehicle without human interaction. In response to undergoing the passive wireless interaction, the one or more controllers transmit one or more fleet-specific features to the one or more personal electronic devices, wherein the one or more fleet-specific features are shared by a fleet of vehicles, where the fleet of vehicles include an immediate vehicle and a group of vehicles that share one or more common attributes.

Abstract: A computer is provided for a system of a motor vehicle, with the system including one or more perception sensors generating sensor data and one or more output devices performing an action, in response to the output device receiving an output signal. The computer includes one or more processors coupled to the perception sensor and the output device, with the processor having a Rich Execution Environment (REE) and a Trusted Execution Environment (TEE). The computer further includes a non-transitory computer readable storage medium (CRM) including instructions such that the at least one processor is programmed to: receive the sensor data from the perception sensor; transfer the sensor data from the REE to the TEE; homomorphically encrypt the sensor data in the TEE; and calculate the encrypted output based on the encrypted sensor data in the REE and a plurality of weights of a homomorphically encrypted neural network in the REE.

Abstract: A system can include a computer including a processor and a memory. The memory includes a trained neural network with instructions such that the processor is programmed to receive a pruning ratio and prune at least one node of the trained deep neural network based on a pruning ratio.