A vehicle performance evaluation method, device and terminal are provided. The method includes: acquiring a labeled ADE score of an ADE item within a time period in which the ADE item occurs, and recording labeled data of an ADE index for indicating a vehicle state; acquiring a correlation between the ADE item and the vehicle state, according to the labeled ADE score and the labeled data of the ADE index; acquiring data of a target ADE index within a preset time period, and acquiring a target ADE score according to the data of the target ADE index and a correlation between the ADE item and the vehicle state; and acquiring a vehicle performance evaluation result according to the target ADE score. The passenger participation is not necessary, costs can be reduced and a vehicle evaluation efficiency can be improved.

Systems and methods for adjusting vehicle components based on audible commands are disclosed herein. In an embodiment, the system includes a plurality of adjustable vehicle components, an audio device, and a controller. The audio device is configured to receive an audible command and generate corresponding command data. The controller is programmed to generate at least one confidence score based on the command data and (i) cause a first response to be output from the audio device after determining that the at least one confidence score does not meet a first threshold, (ii) cause a second response to be output from the audio device after determining that the at least one confidence score does not meet a second threshold, and (iii) cause an adjustment of at least one adjustable vehicle component after determining that the at least one confidence score meets the second threshold.

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.

Disclosed is a vehicular electronic device including a processor configured to receive information on a user gaze direction, to determine whether a user looks forward based on the information, to perform control to make a call using voice only upon determining that the user looks forward, and to perform control to make a call using voice and an image upon determining that the user does not look forward.

An agent device includes: a plurality of agent function units, in which each of the agent function units provides a service including a voice response to an occupant of a vehicle in response to an utterance of the occupant; and a manager which, when any of the plurality of agent function units is being activated and the predetermined same operation is performed on the plurality of agent function units by the occupant of the vehicle, causes the agent function unit which is being activated to stop.

Systems, methods, and other embodiments described herein relate to controlling a vehicle system when the vehicle system is under control of a user. In one embodiment, a method includes predicting a start of a user sneezing episode. The method includes identifying a plurality of phases in the user sneezing episode, and controlling the vehicle system based on which one of the plurality of phases is active.

Systems and methods are provided for adding supervised stops to an autonomous vehicle route. In particular, systems and methods are provided for allowing a primary passenger, who is accompanied by one or more other passengers, to pause a ride, exit the vehicle, and request supervision of the other passengers while the primary passenger is away from the vehicle. Supervision of the other passengers can include monitoring vehicle temperature, making sure the other passengers remain safely inside the vehicle, preventing strangers from accessing the vehicle, providing any requested feedback regarding the other passengers to the primary passenger, and enabling communication between the first passenger and the other passengers.

The present invention relates to a computer-implemented method for capturing a feature of interest observed by a passenger of a vehicle, comprising detecting an excited level of the passenger’s interest based on passenger data generated by monitoring the passenger of the vehicle, thereby generating an interest event; extracting a gaze direction of the passenger relating to the interest event based on the passenger data; and extracting environmental data, generated by monitoring an environment of the vehicle, that relate to the interest event and to the gaze direction, thereby generating partial feature data for the feature of interest observed by the passenger. The present invention further relates to a computer system configured to execute the computer-implemented method for capturing a feature of interest observed by a passenger of a vehicle.

A method for adaptively optimizing an autonomous driving system includes obtaining a driving intent of a driver of a target vehicle, wherein the target vehicle is an autonomous driving vehicle controlled by the autonomous driving system, detecting, based on the driver's driving intent, that a conflict exists between a first driving behavior of the target vehicle controlled by the autonomous driving system and the driver's driving intent, and updating the autonomous driving system such that a driving behavior of the target vehicle controlled by an updated autonomous driving system matches the driving intent.

This application discloses an intelligent vehicle control method. An intelligent vehicle control system obtains a driving mode, a driving style model, and a target speed of an intelligent vehicle at a current moment, then determines a speed control instruction based on the driving mode and the driving style model, and sends the speed control instruction to an execution system of the intelligent vehicle. This provides an intelligent vehicle control method with high comfort and good experience.