A driver monitor includes a processor configured to: detect the posture of a driver of a vehicle from an image of the interior of the vehicle generated by a camera provided on the vehicle, determine that the driver's condition is abnormal, when the detected posture satisfies an abnormality determining condition, detect an unusual sound made by the driver of the vehicle, based on a voice signal of the interior of the vehicle obtained by a microphone provided on the vehicle, and make the abnormality determining condition for the case where the unusual sound is detected less strict than an abnormality determining condition for the case where the unusual sound is not detected.

Techniques for machine-trained analysis for multimodal machine learning vehicle manipulation are described. A computing device captures a plurality of information channels, wherein the plurality of information channels includes contemporaneous audio information and video information from an individual. A multilayered convolutional computing system learns trained weights using the audio information and the video information from the plurality of information channels. The trained weights cover both the audio information and the video information and are trained simultaneously. The learning facilitates cognitive state analysis of the audio information and the video information. A computing device within a vehicle captures further information and analyzes the further information using trained weights. The further information that is analyzed enables vehicle manipulation. The further information can include only video data or only audio data. The further information can include a cognitive state metric.

Aspects of the present invention relate to control system (100) for controlling a transition of a vehicle between a first driving mode and a second driving mode. The control system comprises one or more controllers, configured to: receive (302) a first request signal indicative of an occupant-initiated preparatory request; receive (303) a second request signal indicative of an occupant-initiated transition request; determine (304) a first control signal for controlling output of information to an occupant of the vehicle indicative of the driving environment in dependence on receipt of the first request signal; determine (308) a second control signal for causing transition of the vehicle from the first driving mode to the second driving mode in dependence on receipt of both the first request signal and the second request signal; and output (306, 310) the first or second control signal to a vehicle system.

Embodiments of the present disclosure are directed to switching a driving mode of a vehicle. A mode change request from one of a plurality of sources to switch the vehicle from a first driving mode to a second driving mode is received. In response to receiving the mode change request, a status of the vehicle is accessed, and a confirmation request is transmitted to the one of the plurality of sources. Verification of the confirmation request is made, and a driving transition mode is initialized from the first driving mode to the second driving mode based on the status of the vehicle. In response to adhering to safety conditions or safety boundaries within a duration of time, a switching signal is sent to the control system of the vehicle to switch the vehicle from the first driving mode to the second driving mode.

A method includes identifying a user; obtaining a user profile matched with the identification of the user, wherein the user profile includes SIM data associated with a carrier plan; assigning the SIM data associated with the carrier plan of the obtained user profile to a data communication module to virtually replicate the SIM data of the user; and reverting carrier settings of the data communication module to original settings based on the user no longer being identifiable.

The present disclosure relates to a hybrid electric vehicle in which powertrain noise may be controlled to improve the voice command recognition performance of the vehicle control system and also improve the driver’s experience with the audio guidance system, and a method for supporting audio input/output function for the same. A method of supporting audio input/output for a hybrid electric vehicle may include: determining a first condition for audio input/output function and a second condition for inside noise level; and performing a noise reduction control by inducing an engine-off state based on a current drive mode and further based on the first and the second conditions being satisfied.

The present disclosure relates to an eco-friendly vehicle in which powertrain noise may be controlled such that voice command recognition of the vehicle control system may be improved and also audio guidance therefrom may be better recognized by a driver, and a method for supporting audio input/output for the same. A method of supporting audio input/output for an eco-friendly vehicle according to an embodiment of the present disclosure includes determining whether a first condition for audio input/output function and a second condition for inside noise level are satisfied; and performing a noise reduction control by changing an operating point of a driving power source based on a current drive mode, in case where the first and the second conditions are satisfied.

A system for controlling vehicle functions based on monitored driving performance includes one or more sensors that capture performance-based data characterizing driving-performance implicating behaviors of a driving team during one or more driving campaigns. The performance-based data is analyzed according to one or more performance indicators to determine a compatibility score for the driving team that characterizes how driving team composition affects driving performance. One or more vehicle functions can then be controlled one or more vehicle functions based on compatibility scores for various driving teams.

A method of processing the psychophysical state of a driver to improve the driving experience of road vehicle driven by a driver and comprising the steps of: cyclically detecting one or more objective vital parameters of the driver by means of one or more first sensors installed within a vehicular system; processing the value of a vital state index according to said one or more objective vital parameters detected; cyclically detecting one or more subjective parameters of the driver by means of one or more second sensors installed within the vehicular system; processing, starting from the objective vital parameters and according to the subjective parameters, the psychophysical state of the driver.

A system for increasing the safety of voice conversations between drivers and remote parties is shown. The system includes an in-vehicle subsystem and a remote subsystem. The system includes a plurality of sensors which are configured to generate monitoring data. The system includes a computing device, which may be distributed between the subsystems and is configured to calculate a risk level as a function of the monitoring data. The computing device may engage an automatic safety response as a function of the risk level, that may include suspension or termination of on-going conversations among the parties, together with notification about the status of the communication channel. The safety response may be communicated to the driver by generating an alert. The in-vehicle and the remote subsystems communicate using a wireless connection and collaborate in engaging the automatic safety response and communicating any alerts to the driver and remote party using notifications.