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 vehicle can include a body coupled communication (BCC) sensor. A computer in the vehicle can detect that an occupant of a vehicle is touching a screen of a user device, based on a signal from the BCC sensor. Further, it can be determined whether the occupant is in the position of the vehicle operator. Upon determining that the occupant is in the position of the vehicle operator, a gaze direction of the occupant of the vehicle can be determined while the occupant is touching the screen. A prediction can then be output that occupant attention is directed to the screen based on the gaze direction and the signal from the BCC sensor.

Disclosed herein are systems and methods, implementable in an electric vehicle equipped with adaptive cruise control, for maintaining in a subject vehicle substantially constant following distance relative to a preceding target vehicle where there has been a change in slope of a surface on which the subject vehicle is travelling and/or where pitch of the subject vehicle has changed. Systems and methods disclosed herein may maintain such substantially constant following distance by managing torque in the vehicle's electric motor. Such engine torque management effective for maintaining substantially constant following distance relative to a preceding target vehicle, notwithstanding change in driving surface slope and/or change in pitch of the subject vehicle, may be realized utilizing data received into the subject vehicle's vehicle control unit through sensors for detecting surface slope and sensors for detecting vehicle pitch, which may be located on the subject vehicle's frame.

A method of protecting a multi-function drive axle system from damage, comprising the steps of: determining the axle torque and speed from sensors positioned on the multi-function drive axle system; using the axle torque and speed to approximate damage values for the driveline of the multi-function drive axle system; comparing the approximated values of driveline damage with driveline damage durability targets; identifying if the approximated values of driveline damage exceed the driveline damage durability targets; and limiting the engine torque and/or speed to produce an axle torque and speed corresponding to driveline damage values that do not exceed the driveline damage durability targets.

A vehicle that includes: an input device that is configured to receive a user command from a user; and a controller that is configured to: obtain vehicle driving information, based on the vehicle driving information, control the vehicle to travel autonomously, determine whether the user command is inconsistent with the vehicle driving information, based on a determination that the user command is inconsistent with the vehicle driving information, determine to ignore the user command, in response to a determination to ignore the user command, control the vehicle based on the vehicle driving information without the user command, based on a determination that the user command is consistent with the vehicle driving information, determine to apply the user command, and in response to a determination to apply the user command, control the vehicle based on the vehicle driving information and the user command is disclosed.

Methods and apparatus to facilitate anthropometric seat adjustments are disclosed. An example vehicle comprises corresponding sensors and motors, a processor, and memory. The sensors generate actual position information of the motors. The processor and memory are configured to: convert the actual position information into first body dimensions; receive second body dimensions; convert the second body dimensions into target position information; and adjust the motors using the target position information.

A driver assistance system for motor vehicles, including at least one sensor for detecting object properties of objects which are located in the surroundings of the motor vehicle; a first interface; an output unit for transmitting the object properties to a user; and a control unit. The sensor transmits the object properties in a form of a first signal to the first interface. The first interface transmits the object properties, received in the form of the first signal, to the control unit in the form of a second signal, the control unit being configured to forward the object properties, received in the form of a second signal, to the output unit and to control the output of the object properties by the output unit.

A method for assisting the operation of a host vehicle traveling on a roadway includes acquiring images around the host vehicle with at least one primary camera assembly having a first field of view. Visibility is detected within the first field of view. The at least one primary camera assembly is deactivated when the detected visibility is below a predetermined value. Images are acquired around the host vehicle with at least one secondary camera assembly having a second field of view until the detected visibility in the first field of view is at or above the predetermined value.

A vehicle is disclosed that uses data from different types of on-board sensors to determine whether meteorological precipitation is failing near the vehicle. The vehicle may include an on-board camera capturing image data and an on-board accelerometer capturing accelerometer data. The image data may characterize an area in front of or behind the vehicle. The accelerometer data may characterize vibrations of a windshield of the vehicle. An artificial neural network may run on computer hardware carried on-board the vehicle. The artificial neural network may be trained to classify meteorological precipitation in an environment of the vehicle using the image data and the accelerometer data as inputs. The classifications of the artificial neural network may be used to control one or more functions of the vehicle such as windshield-wiper speed, traction-control settings, or the like.

A motor vehicle comprising a body defining a passenger compartment, a plurality of wheels; and a first sensor designed to detect a value associated with a driving speed of said motor vehicle; the first sensor comprises, in turn: a first emitter configured to emit a first laser signal; one or more first single-photon avalanche diodes configured to detect said first laser signal or a second laser signal generated, in use, by the reflection of the first laser signal; and a control unit programmed to process the value associated with a driving speed of the motor vehicle, based on the first or second laser signal detected, in use, by the first photodetectors.