Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire one or more images from a camera and determine first camera noise values based on the one or more images by determining reactions of camera photo receptors to light. The instructions can include further instructions to compare the first camera noise values with second camera noise values determined based on previously acquired images from the camera and output a tamper determination for the camera based on whether the first camera noise values match, within a tolerance value, the second camera noise values determined based on the previously acquired images from the camera.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to divide each of one or more images acquired by a camera into a plurality of zones, determine respective camera noise values for respective zones based on the one or more images, determine one or more zone expected values for the one or more images by summing camera noise values multiplied by scalar coefficients for each zone and normalizing the sum by dividing by a number of zones in the plurality of zones, and determine a source of the camera as being one of the same camera or an unknown camera based on comparing the one or more zone expected values to previously acquired expected zone values.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image with a visible and NIR light camera and acquire a second image with an infrared camera. The instructions can include further instructions to determine whether the second image includes a live human face by comparing a first infrared profile included in the second image with second infrared profile included in a previously acquired third image acquired with a the infrared camera; and when the second image includes the live human face, output the first image.

Abstract: A system includes an illumination source, a camera arranged to detect illumination from the illumination source, and a computer communicatively coupled to the illumination source and the camera. The computer is programmed to detect an object in image data from the camera, identify landmarks of the object in the image data, determine a distance from the camera to the object based on a pixel distance between the landmarks in the image data, and adjust a brightness of the illumination source based on the distance.

Abstract: The present disclosure is directed to an automotive computer in communication with a mobile device using an authentication manager to increase and/or reduce user privileges that determine a level of vehicle control or feature access that is granted to the user. The authentication manager may increase or decrease the user privilege to standard rider status until the authentication manager has confirmed elevated status for that user via a cloud security challenge question or via a local identification method such as using the mobile device authentication features. This process may be additionally triggered based on environmental or context-based use cases, such as a high traffic condition, local cyber-attack, or transportation of sensitive goods. The system may utilize the authentication to perform out of band pairing of the mobile device and the vehicle, which may add additional security.

Abstract: The present disclosure includes a system for re-establishing a Bluetooth Low Energy (BLE) pairing PIN key to repair a secure connection between a mobile device and vehicle. The system may detect an error state, and provide a prompt to the user to determine if they wanted to intentionally remove their account. Responsive to an affirmative response from the user that the removal of the connection credentials was intentional, the system may send a revoke request to a server associated with the vehicle. Responsive to a user input that indicates that the removal of the credentials was unintentional, the vehicle may fetch an encrypted PIN seed of the BLE pairing PIN from memory or request the PIN seed from the server. The PIN seed re-establishes the secured pairing of the mobile device and the vehicle infotainment system without undergoing a new device setup procedure.

Abstract: A machine-learning localization scheme is provided. Calibration data is received from a plurality of vehicles, the calibration data including wireless data indicative of locations of mobile devices within the plurality of vehicles, ground truth data with respect to the locations of the mobile devices, and contextual information with respect to one or more of operating system versions of the mobile devices or battery levels of the mobile devices. A machine-learning model is trained using the wireless data and the contextual information as inputs and the ground truth data as output. Responsive to an error rate for the machine-learning model being within an error target, the machine-learning model is provided to the plurality of vehicles.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image by illuminating a first object with a first light beam, determine a first measure based on a first number of pixels corresponding to the first object in the first image and determine a relative distance measure by comparing the first measure based on the first number of pixels corresponding to the first object to a second measure based on a second number of pixels corresponding to a second object in the first image.

Abstract: A system includes an illumination source, a camera arranged to detect illumination from the illumination source, and a computer communicatively coupled to the illumination source and the camera. The computer is programmed to detect an object in image data from the camera, identify landmarks of the object in the image data, determine a distance from the camera to the object based on a pixel distance between the landmarks in the image data, and adjust a brightness of the illumination source based on the distance.

Abstract: A system includes a first plurality of blockchain nodes including first network nodes external to a vehicle and second network nodes internal to the vehicle, the first plurality of blockchain nodes maintaining a first distributed blockchain ledger; and a first computing device. The first computing device is programmed to transmit a first request to the first plurality of blockchain nodes requesting access to a vehicle network via a communications access port in the vehicle; demonstrate a first proof of work by responding to a second request from the first plurality of blockchain nodes; and receive, based on a first majority of the first network nodes and the second network nodes in the first plurality of blockchain nodes accepting the first request, first authorization specifying access to the vehicle access via the communications access port.

Abstract: A remote-assist system programmed for vehicle parking assist or other remote vehicle operation features includes a selective ultrasonic beamforming Amplitude Modulated (AM) system configured and/or programmed to transmit audible alerts to a primary user via ultrasonic beamforming AM. The system localizes a mobile device that is being used by the primary user to initiate the system. The system localizes the primary user, and others in the vicinity, and determines others that may be associated with the vehicle and primary user. The system defines and reshapes a target zone to include only those associated with the primary user and the vehicle. The system electronically or mechanically steers a transducer array to steer an ultrasonic beam with an AM audio alert to the target zone, where the message is audible only to those within the target zone.

Abstract: A distributed biometric vehicle entry system is configured to provide personalized biometric authentication for vehicle entry. The system utilizes an authentication token private key challenge generated a biometric wireless vehicle entry keypad, or a passive device such as a smartphone or fob, such that it would be insufficient for an intruder to simply jump the circuit with an external battery. The biometric authentication may be localized to an embedded system within the biometric vehicle entry keypad, and may be self-contained from all other vehicle systems with a wireless vehicle interface and independent power supply. The vehicle may grant access responsive to receiving the authentication token (and only the authentication token) whenever a valid biometric signature is recognized.

Abstract: A controller may implement a key delivery manager on the vehicle side to aid in control of consumer access key delivery. These controls may include, for example, key redelivery to a mobile device, choosing a type of key delivery according to availability of vehicle connectivity, and revoking keys according to availability of vehicle connectivity. By using the key delivery manager, the controller takes into account state knowledge as well as connectivity availability to dictate which delivery method (and subsequent user interactions) should be utilized.

Abstract: A keyed-alike digital consumer access key is generated for distribution to a plurality of vehicles of a fleet. The keyed-alike digital consumer access key is deployed to the plurality of vehicles. The keyed-alike digital consumer access key is deployed to a mobile device. A request from a mobile device may be received to gain access to the plurality of vehicles. Responsive to validating the mobile device, the mobile device may be sent the keyed-alike digital consumer access key and a unique identifier corresponding to the mobile device, the keyed-alike digital consumer access key for use by the mobile device in authentication to one or more of the plurality of vehicles, the unique identifier for use by the mobile device in tracking which mobile device is accessing the one or more of the plurality of vehicles.

Abstract: A vehicle includes an automated driving assistance system that controls maneuvering of the vehicle under certain conditions. When the vehicle comes to a stop, the driving assistance system dynamically selects a threshold stop time corresponding to a duration of time that the vehicle can remain stopped before the driving assistance system will either detect a physical action from the user to resume automated driving assistance or time out and cease the driving assistance.

Abstract: Systems, methods, and computer-readable media are disclosed for decentralized authentication for autonomous vehicles and associated transactions. Example system includes a secure distributed network of servers including a biometrics server configured to authenticate a user using biometric data and generate a biometrics server authentication token when the user is authenticated, a transactional server configured to perform the transaction for the user upon receiving the biometrics server authentication token, the transactional server being further configured to generate a transactional server authentication token when the transaction is approved, and a mobility service server configured to receive both the biometrics server authentication token and the transactional server authentication token and provide access to the mobility service.

Abstract: The present disclosure relates to a vehicle vision system and a method for identifying an entity for access to a vehicle. The system includes a vehicle having one or more vision sensors coupled therewith. Each of the one or more vision sensors produces a vision data signal. The system includes one or more processors, a memory communicatively coupled with the vehicle and the one or more vision sensors. The one or more processors are operable to execute a first classification algorithm operable to performs an initial validation of the vision data signal. The one or more processors are operable to execute a second classification algorithm to perform a validation of the vision data signal. The one or more processors implement the first classification algorithm and/or the second classification algorithm based on one or more vehicle operational settings.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image by illuminating a first object with a first light beam, determine a first measure based on a first number of pixels corresponding to the first object in the first image and determine a relative distance measure by comparing the first measure based on the first number of pixels corresponding to the first object to a second measure based on a second number of pixels corresponding to a second object in the first image.

Abstract: A vehicle for improved user authentication is provided. The vehicle includes a biometric sensor; and a controller programmed to initiate a biometric authentication of a user within a vicinity of a vehicle using data received from the biometric sensor, and responsive to occurrence of a secondary trigger condition initiated by the user to gain access to the vehicle, complete the authentication to grant or deny access to the user. A system for remote management of lockout states for a vehicle is provided. A server is programmed to receive a lockout notification from the vehicle, responsive to occurrence of a failed access attempt using an access modality, the lockout notification including contextual information with respect to the occurrence of the failed access attempt; and send, responsive to the lockout notification, an indication of an administrative action to be performed by the vehicle.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine a first measure of pixel values in the first image, acquire a second image, estimate ambient light illuminating the first object based on the second image and modify the first measure of pixel values based on a second measure of pixel values corresponding to estimated ambient light based on the second image. The instructions include further instructions to perform a comparison of the modified first measure of pixel values to a third measure of pixel values determined from a third image of a second object, wherein the third image is previously acquired by illuminating the second object with a second light beam and, when the comparison determines that the first measure is equal to the third measure of pixel values within a tolerance, determine whether the first object and the second object are a same object.