A vehicle comprises user inputs, a monitoring system for detecting and monitoring a pet within the vehicle, and a controller processing signals generated by the monitoring system and determining a location of the pet based on the monitored signals. The controller controls activation of the user input controls based on the determined location of the pet to disable an operating mode of one or more of the user inputs when the pet is detected proximate to the user inputs.

A taxi system includes: a plurality of unmanned taxi vehicles; a medium reader that is mounted on the unmanned taxi vehicle, and outputs a result obtained by reading a certificate medium presented by the occupant, as read data; and a system controller that acquires, by analyzing the read data, ticket information including at least one of a destination and payment information, and executes, based on the acquired ticket information, at least one of setting of the destination of the unmanned taxi vehicle and execution of a payment, in which the certificate medium is a medium issued to the occupant in order to authenticate the occupant in a situation other than taxi use.

A method and a system for providing a personal transportation service using an autonomous vehicle, including: receiving a request for the personal transportation service from a terminal of a user; analyzing a call pattern of the user for the autonomous vehicle; and determining a recommended autonomous vehicle to provide the personal transportation service to the user based on the analysis result of the call pattern are provided.

According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. Operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. When a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. Based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver—the autonomous vehicle or the vehicle human occupant. As a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated. Insurance discounts may be provided for autonomous vehicles having this safety functionality.

Among other things, techniques are described for screening and monitoring the health of a vehicle user including receiving sensor data produced by a sensor at the vehicle, processing the sensor data to determine at least one health condition of the user of the vehicle, and in response to determining the at least one health condition, executing a vehicle function selected from a plurality of vehicle functions based on the at least one health condition.

System, apparatus, device and methods relating to a telematic vehicle sharing platform ecosystem and a telematic vehicle share I/O expander to automate sharing and management of a vehicle that is shared by more than one operator.

Systems and methods for adjusting one or more component of a vehicle are disclosed herein. In an embodiment, a system for adjusting one or more component of a vehicle includes at least one adjustable vehicle component, an authentication device, an audio device, and a controller. The authentication device is configured to detect a vehicle user outside of the vehicle and generate corresponding authentication data. The audio device is configured to receive an audible command from the vehicle user from outside of the vehicle and generate corresponding command data. The controller is programmed to cause an adjustment of the at least one adjustable vehicle component based on the command data when the vehicle user has been authenticated based on the authentication data.

A controller and method for real-time customization of presentation features of a vehicle. A method includes collecting a first dataset about a knowledge level of an operator of the vehicle, wherein the first dataset is collected with respect to a feature of the vehicle; collecting, using at least one sensor, a second dataset regarding an external environment of the vehicle and a cabin of the vehicle; determining, based on the first dataset and the second dataset, a presentation feature from a plurality of presentation features associated with the feature of the vehicle; customizing the presentation feature based on at least the first dataset, wherein the customization is performed in real-time when the operator operates the vehicle; and presenting the presentation feature to the operator of the vehicle.

A learning model generating unit generates a learning model using a user ID of a user estimated by a driver estimating unit and driving attributes of the user, as training data. Specifically, a learning model generating unit generates a learning model in which the driving attributes are an explanatory variable and the user ID of a user is an objective variable. When various driving attributes are input to the driving behavior model, the user ID of a driver specified by the attributes is output.

A method for operating a vehicle includes obtaining personal data associated with a user of the vehicle, obtaining operating data for the vehicle, determining a driver behavior recommendation to reduce emissions of the vehicle based at least in part on the personal data and the operating data, and presenting the driver behavior recommendation on an interface.