A vehicle includes a system for recording and analyzing user preferences during a vehicle test drive. The system includes a processor and a memory that stores processor-readable instructions. When executed by the processor, the processor-readable instructions cause the system to: determine a user identity; create a user preference profile based on the user identity; communicate a prerecorded message describing one or more vehicle options to the user; record a user response of the user in response to the prerecorded message; analyze the recorded user response; and update the user preference profile based on the analysis of the recorded user response.

A system is provided generating a context-dependent experience for a vehicle driver, e.g., to relax or enhance the driver's mental state. A system controller is configured to receive driving context data regarding a driving situation from various driving context data sources. The driving context data may include vehicle operation data, e.g., generated by vehicle-based sensors, and environmental data regarding an environment external to the vehicle, e.g., received wirelessly from a remote server. The system controller may identify content triggering events based on (a) the received driver context data and (b) a set of content triggering rules. For each content triggering event, the system controller may select one or more human-perceivable contents elements (e.g., audio clips, seat massage settings, or air conditioner settings), and control one or more content output devices (e.g., speakers, seat massage system, or vehicle HVAC system) to output the selected content element(s) to the driver.

Systems and methods by a telematics server are provided. The method includes receiving, over a network, training data including model input data and a known output label corresponding to the model input data from a first device, training a centralized machine-learning model using the training data, determining, by the centralized machine-learning model, an output label prediction certainty based on the model input data, determining an increase in the output label prediction certainty over a prior predicted output label certainty of the centralized machine-learning model, and sending, over the network, a machine-learning model update to a second device in response to determining that the increase in the output label prediction certainty is greater than an output label prediction increase threshold.

A central computer includes a first processor and a first memory. A portable computer includes a second processor and a second memory. The portable computer is programmed to: obtain an identifier of a vehicle via a scanner included in the portable computer, and transmit the identifier and first validation data to the central computer, and transmit a message to the central computer for a destination computer. The central computer is programmed to receive the identifier and the first validation data from the portable computer, determine second validation data; identify a destination computer based on the identifier, and upon determining that a comparison of the first validation data and the second validation data meets a specified criterion, transmit the message from the portable computer to the destination computer.

According to one embodiment, a method, computer system, and computer program product for using mobile devices for anomaly detection in a vehicle. The present invention may include a computer receives sensor data from at least one mobile device associated with the vehicle, where the mobile device having one or more sensors. The computer analyzes data from the one or more sensors to identify an anomaly associated with the vehicle. The computer identifies a message associated with the anomaly. The computer determines an urgency value of the message based on the anomaly. The computer transfers the message with the urgency value to the vehicle and causes the vehicle to notify the message using a vehicle notification device.

A vehicle position sensing system includes: a position information acquiring section that acquires position information of a vehicle; a storage section that stores first region information, which expresses automatic driving regions where automatic driving of the vehicle is possible and remote driving regions where remote operation driving of the vehicle is possible, and second region information that expresses manual driving regions where only manual driving of the vehicle is permitted; a head up display that can be viewed by a driver of the vehicle; and a control section that, on the basis of the position information of the vehicle, the first region information and the second region information, causes the head up display to display relative positional relationships among the vehicle, the automatic driving regions, the remote driving regions and the manual driving regions.

A method for providing a user of a transportation vehicle with infotainment content. An area of insufficient coverage of a network along a route ahead of the transportation vehicle is determined. Infotainment content to be made available to the user in the area of insufficient network coverage is determined based on at least one user input. This determined infotainment content to be provided is loaded into the transportation vehicle via the network and is finally made available to the user in the area of insufficient network coverage. A transportation vehicle to carry out the method and a system having a transportation vehicle and a network server.

Provided is An apparatus for assisting driving of a host vehicle, the apparatus comprising: a camera mounted to the host vehicle and having a field of view in front of the host vehicle, the camera configured to acquire image data; and a controller including a processor configured to process the image data, and configured to receive a map on which the host vehicle travels from a server, compare a speed limit included in the map with a speed limit included in the image data, and control a display of the host vehicle so as to display the speed limit based on the image data.

Embodiments disclosed herein describe vehicle-based authentication protocols. An illustrative authentication server may receive a request to authenticate a user connected from a mobile device. The authentication server may transmit a request to the mobile device to transmit geolocation data of the mobile device. In response, the mobile device may transmit a stream of its geolocation data. Based upon the received geolocation data stream, the authentication server may determine that the mobile device in a motion and select a vehicle-based authentication protocol to request geolocation data of a trusted vehicle. The authentication server may compare the mobile device geolocation data stream and the vehicle geolocation data stream to determine a similarity score. If the similarity score is above a threshold, the authentications server may authenticate the user. In some cases, the authentication server may authenticate the user if the mobile device is connected to the trusted vehicle.

A system and method for assisting drivers of vehicles are described. The systems and methods provide an extended view of the area surrounding the driver's vehicle while providing real-time object trajectory for objects and other vehicles that may enter the driver's reactionary zone. The system and methods capture images of the area surrounding the driver's vehicle and create a composite image of that area in real-time and using Augmented Reality (AR) create a 3-D overlay to warn the driver as objects or other vehicles enter the driver's reactionary zone so that a driver can make more informed driving decisions.