A system and method of monitoring sobriety using a hand-held breath testing device that, on receipt of a user's breath, generates a breath test signal comprising substance content data and user identification data, and wirelessly transmits the breath test signal to a breath test signal receiving station. The breath test signal includes substance content data and user identification data. The substance content data includes at least one of: a blood alcohol level and a narcotics presence. The user identification data includes compressed image data. The signal receiving station is monitored by a supervisor who is able to intervene should the substance level be greater than a predetermined threshold, or should the user identification data no match with a reference user identification data.

An operating method for a vehicle includes driving in a manual mode, in which a longitudinal movement and a lateral movement are controlled by a human driver, and driving in an autonomous mode, in which the longitudinal movement and the lateral movement are controlled by an automated system. In the method, driving in semi-autonomous mode is activated from the autonomous mode by the human driver either resuming the longitudinal movement, such that the automated system continues to control the lateral movement, or resuming the lateral movement, such that the automated system continues to control the longitudinal movement. In the semi-autonomous mode, one or more automatic stop operations brake the vehicle when the human driver does not quickly resume control of the lateral movement and the longitudinal movement, which continues to be controlled by the automated system.

An operating method for a vehicle includes driving in a manual mode, in which a longitudinal movement and a lateral movement are controlled by a human driver, and driving in an autonomous mode, in which the longitudinal movement and the lateral movement are controlled by an automated system. In the method, driving in semi-autonomous mode is activated from the autonomous mode by the human driver either resuming the longitudinal movement, such that the automated system continues to control the lateral movement, or resuming the lateral movement, such that the automated system continues to control the longitudinal movement. In the semi-autonomous mode, one or more automatic stop operations brake the vehicle when the human driver does not quickly resume control of the lateral movement and the longitudinal movement, which continues to be controlled by the automated system.

A method for presenting information upon starting an automotive vehicle includes at least one step in which various parameters associated with the vehicle are verified. Also included is a step in which a particular light beam is projected onto a specific area of the passenger compartment of the vehicle when the state of a plurality of verified parameters allows the vehicle to be started.

Various aspects of a device and method to manage interaction with one or more control circuits in a vehicle and one or more wearable devices are disclosed herein. The device comprises one or more circuits configured to receive a first set of input values from the one or more wearable devices associated with a first user. The one or more wearable devices are communicatively coupled to the device used in the vehicle. A second set of input values is received from one or more vehicle sensors embedded in the vehicle. An operating mode of the device is determined based on the received first set of input values and the second set of input values. One or more functions of the vehicle are controlled based on the determined operating mode of the device.

A system includes a first sensor for detecting vehicle data and a second sensor for detecting driver data. The system also includes a memory for storing preferred stops and a GPS unit for detecting a location. The system also includes an electrical control unit (ECU) that can determine a tired value of the driver based on the vehicle performance data and the driver condition data. The ECU can also determine that the driver is getting tired when the tired value is equal to or greater than a first tired threshold. The ECU can also determine a desired destination of the driver based on the preferred stops that the vehicle can reach before the tired value reaches or exceeds a second tired threshold. The system also includes an output device for outputting navigation instructions providing directions to the desired destination from the current location of the vehicle.

An object of the present invention is to provide an eye opening degree detection system that can accurately and stably calculate an eye opening degree. The eye opening degree detection system includes imaging devices that generate images including regions of both eyes, a one eye opening degree calculation unit that calculates each one eye opening degree of the left and right eyes of a first image, an eye opening degree selection unit that selects a correctly-calculated one eye opening degree, an eye opening degree calculation unit that calculates an eye opening degree on the basis of the one eye opening degree and an eye opening degree determination unit that compares the eye opening degree calculated on the basis of the first image with an eye opening degree calculated on the basis of a second image prior to the first image to determine the propriety of the eye opening degree.

An object of the present invention is to provide an eye opening degree detection system that can accurately and stably calculate an eye opening degree. The eye opening degree detection system includes imaging devices that generate images including regions of both eyes, a one eye opening degree calculation unit that calculates each one eye opening degree of the left and right eyes of a first image, an eye opening degree selection unit that selects a correctly-calculated one eye opening degree, an eye opening degree calculation unit that calculates an eye opening degree on the basis of the one eye opening degree and an eye opening degree determination unit that compares the eye opening degree calculated on the basis of the first image with an eye opening degree calculated on the basis of a second image prior to the first image to determine the propriety of the eye opening degree.

Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system detects a physical abnormality of a driver; sets a stop point; and controls a vehicle to travel to the stop point and stop at the stop point. The system is operable to: calculate, with respect to each of a plurality of stop point candidates, a first index value which increases with an increase in a lateral acceleration, a second index value which increases with an increase in rear-end collision risk, a third index value based on the detected abnormality, and a gross index value, wherein the gross index value is obtained by subjecting the first, second, and third index values to weighting, and summing the resulting weighted index values; and then set one of candidates which is smallest in terms of the gross index value, as the stop point.

Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system detects a physical abnormality of a driver; sets a stop point; and controls a vehicle to travel to the stop point and stop at the stop point. The system is operable to: calculate, with respect to each of a plurality of stop point candidates, a first index value which increases with an increase in a lateral acceleration, a second index value which increases with an increase in rear-end collision risk, a third index value based on the detected abnormality, and a gross index value, wherein the gross index value is obtained by subjecting the first, second, and third index values to weighting, and summing the resulting weighted index values; and then set one of candidates which is smallest in terms of the gross index value, as the stop point.