The present invention relates to a breath analyzing system and method. In particular the invention relates to a breath analyzing system and method arranged to provide tracer-aided classification of the presence of a breath intoxicating substance above a limit concentration and providing status to a user about the progression of the classification. The method/system detects a peak in the tracer signal and defines an evaluation period corresponding to the duration of the peak. Measurements classification of the concentration of the intoxicating substance is used for the evaluation period, and if required to achieve a result, for a plurality of evaluation periods.

The disclosed embodiments include a onboard driver distraction determination system. The determination system includes a onboard sensing and computing system(s), which includes inertial sensor(s), internal sensor(s), and external sensor(s). The onboard system samples data from the sensor(s) during a driving session to determine steering activity metrics and driver behavior. A steering activity metric is a representation of the steering inputs by the driver during the driving session. Driver behavior is a representation of how distracted the driver is during the driving session. By performing the above mentioned steps, the system can provide an analysis of driver distraction and optionally, take control of the vehicle to avoid aberrant behavior.

A driver assistance method and a driver assistance apparatus are provided, which may be applied to the field of autonomous driving or intelligent driving. The driver assistance method includes: determining that a driver is in an abnormal state; determining that a first operation performed by the driver on a first terminal is an abnormal operation; and performing first processing, where the first processing includes outputting indication information and/or control information, and the indication information or the control information indicates a second operation performed on the first terminal, or the first processing includes controlling the first terminal to perform the second operation.

Disclosed are a drunk driving prevention system and a drunk driving prevention method using the system that includes a sensor module measuring the alcohol content in exhaled breath of a driver at the time of breath-checking of the driver and a control module configured to check an intoxication state of the driver based on the alcohol content measured by the sensor module to determine whether or not a breath-checking is complete and block an engine start when the breath-checking fails, wherein the control module includes a bypass control unit switching a vehicle into a drivable state when the breath-checking fails.

Disclosed is a system for preventing drunk driving of a vehicle, the system including: an input unit through which a transfer intention to transfer a control privilege of a vehicle from a registered driver to a passenger is input; a sobriety determination unit configured to determine a current driver's inebriation state through a breathalyzer provided in the vehicle when the transfer intention is input through the input unit; a driver verification unit configured to identify personal information of the current driver seated on a driver's seat; and a control unit configured to transfer the control privilege of the vehicle to the passenger when the passenger is measured as being able to drive by the sobriety determination unit and the passenger and the current driver are identified to be the same by the driver verification unit.

According to the present disclosure, a drunk driving prevention system including: an alcohol detection unit configured to detect a driver's inebriation through the breath test device provided in a vehicle; a computation unit configured, when the driver is detected to be in a drunk state by the alcohol detection unit, to compute a driving-possible time at which the drunk state is resolved in the future so that driving is possible; and a notification unit configured to output the driving-possible time or whether or not driving is possible through an infotainment system of the vehicle or a driver's terminal is disclosed.

Disclosed are a drunk driving prevention system and a method of controlling the system that includes a sensor module measuring a alcohol content in the exhaled breath of a driver during a breath-checking of the driver and a control module configured to check the intoxication state of the driver from the alcohol content measured by the sensor module to determine whether the breath-checking is complete and block an engine start when the breath-checking fails, wherein the control module includes a check unit displaying breath-checking guide information through a display unit and the check unit displays the breath-checking guide information based on an engine start input of the driver.

A vehicle includes a detection system configured to acquire data regarding operation of the vehicle, and a robotic driving device configured to provide robotic control of the vehicle. The vehicle also includes a control system configured to determine whether the robotic driving device is activated, such that the vehicle is in robotic driving mode; receive a request by a prospective operator of the vehicle to deactivate the robotic driving device to initiate a manual driving mode; determine whether the prospective operator is impaired based on the data; and selectively grant or refuse the request based on the determination.

One or more braking event detection computing devices and methods are disclosed herein based on fused sensor data collected during a window of time from various sensors of a mobile device found within an interior of a vehicle. The various sensors of the mobile device may include a GPS receiver, an accelerometer, a gyroscope, a microphone, a camera, and a magnetometer. Data from vehicle sensors and other external systems may also be used. The braking event detection computing devices may adjust the polling frequency of the GPS receiver of the mobile device to capture non-consecutive data points based on the speed of the vehicle, the battery status of the mobile device, traffic-related information, and weather-related information. The braking event detection computing devices may use classification machine learning algorithms on the fused sensor data to determine whether or not to classify a window of time as a braking event.

A method and a system of deploying ignition interlock device functionality. The method comprises receiving data in authentication of a user account associated with the IID; rendering a user interface at the mobile computing device, the user interface including indication of a status of the user account associated with the IID; and receiving a selection of a user action responsive to the status of the user account associated with the IID.