A vehicle control system may include a controller that obtains route information based on a driving route and a location of a vehicle, searches for an uneven road surface on the driving route based on the route information, calculates an impulse based on vehicle information and shape information about the found uneven road surface when the uneven road surface is found, and sets a target speed based on the calculated impulse and user data.

A method that may include receiving driving information and environmental metadata indicative of information sensed by the vehicle; detecting multiple driving events encountered during the driving over the path; determining driving events; for each driving event, determining a comfort based autonomous driving pattern information; for each driving event, determining an driving event identifier; and storing in at least one data structure a driving event identifier for each one of the multiple types of driving events, and a comfort based autonomous driving pattern information.

Body measurements of a person may be scanned using a camera (e.g., a camera on a mobile phone. Vehicle settings may then be determined based on the body measurements. Example vehicle settings may include one or more of a position of a heads-up display, a position of a pedal, an angle of a backrest, a height of a seat cushion, a tilt of the seat cushion, an extension position of the seat cushion, a position of a lumbar support, a position of a seat side bolster, a position of a headrest, a position of a side mirror, a position of a rear-view mirror, a tilt of a steering wheel, and/or a position of a steering wheel.

According to one aspect, a method includes obtaining a request for a first vehicle from a customer, and dispatching the first vehicle to a first location identified in the request. Dispatching the first vehicle to the first location includes causing the first vehicle to drive in an autonomous mode. The method also includes determining when the first vehicle arrives at the first location, and providing the customer with access to enter the first vehicle.

The invention relates to a device (20) for assisting a driver of a vehicle to perform physical exercises, comprising:—means (21) for acquiring data representative of a driving context,—means (22) for determining a level of risk, from the acquired data,—means (23) for selecting at least one physical exercise compatible with the level of risk,—means (24) for transmitting a signal indicating to the driver the at least one selected exercise; characterised in that it further comprises—means (21′) for acquiring data representative of a history of exercises performed by said driver, said data coming from a remote storage,—and in that the means (23) for selecting at least one physical exercise also use said data representative of a history in order to select said at least one exercise.

To provide stopping assistance, the disclosure relates to a method for operating a motor vehicle, in which a stopping point for the motor vehicle is determined using a sensor device of the motor vehicle. In the method, the motor vehicle determines a need to stop at the stopping point and initiates stopping of the motor vehicle at the stopping point when the need is present. If the need is absent, a control device of the motor vehicle performs a movement of the motor vehicle or issues a message characterizing the absence of the need to a driver of the motor vehicle. The disclosure further relates to a motor vehicle.

Vehicle manipulation is performed using crowdsourced data. A camera within a vehicle is used to collect cognitive state data, including facial data, on a plurality of occupants in a plurality of vehicles. A first computing device is used to learn a plurality of cognitive state profiles for the plurality of occupants, based on the cognitive state data. The cognitive state profiles include information on an absolute time or a trip duration time. Voice data is collected and is used to augment the cognitive state data. A second computing device is used to capture further cognitive state data on an individual occupant in an individual vehicle. A third computing device is used to compare the further cognitive state data with the cognitive state profiles that were learned. The individual vehicle is manipulated based on the comparing of the further cognitive state data.

Exemplary embodiments described in this disclosure are generally directed to systems and methods for detecting alertness of a driver of a vehicle. In one exemplary method, a driver alertness detection system determines whether a driver of a vehicle is susceptible to lagophthalmos. If the driver is susceptible to lagophthalmos, the driver alertness detection system may evaluate an alertness state of the driver by disregarding an eyelid status of the driver and monitoring biometrics of the driver such as, a heart rate and/or a breathing pattern. Alternatively, the driver alertness detection system may evaluate an alertness state of the driver by placing a higher priority on the biometrics of the driver than on the eyelid status. However, if the driver is not susceptible to lagophthalmos, the driver alertness detection system evaluates the alertness state by placing a higher priority on the eyelid status than on the biometrics of the driver.

A method for operating an assistance system for a motor vehicle involves providing a configuration set personalized for a user of the assistance system in an electronic computing device of the assistance system for at least one functional unit of the motor vehicle. The personalized configuration set is set by the electronic computing device depending on a triggering criterion. The user is identified as the trigger criterion by a first sensor device and/or a predetermined piece of information relating to the motor vehicle is detected as the trigger criterion by a second sensor device.

A vehicle control apparatus operates in various modes, e.g., a normal mode in which plural travel functions of a vehicle are controlled by plural driving functions of a driver; an automatic mode in which all driving functions are performed by the vehicle; an optimization mode in which, when a temporary reduction of driving performance of any of the plural driving functions of the driver is detected, physical stimulation and/or information that makes the driver recognize the temporary reduction of the driving performance is provided to the driver; and an assistance mode in which, when a chronic reduction of the driving performance of any of the plural driving functions of the driver is detected, information on assistance with execution of the driving performance is provided to the driver.