Continental Automotive Gmbh

Continental Automotive France

Alain Giralt

Martin Petrov

Gregory Baratoff

Sophie Rony

Laure Bajard

A method for determining a level of drowsiness of a driver of a motor vehicle on the basis of a predetermined image analysis algorithm, the vehicle including a camera and a computer, the computer implementing the predetermined algorithm on the basis of a set comprising at least one parameter relating to the attitude of the driver, the method, implemented by the computer, including a phase of learning and a phase of monitoring the state of the driver.

Method for determining a drowsiness level of a motor vehicle driver

A method for determining a state of vigilance of a driver in a vehicle using a predetermined image-analyzing algorithm. The method especially includes a step of executing the predetermined algorithm on the generated sequence of images in order to detect a series comprising at least one movement of the head of the driver, a step of determining the speed and/or the amplitude of each identified movement and of the dynamic and static periods of the head of the driver, a step of detecting dynamic and static periods of the head of the driver and of measuring the frequency and duration of each period, and a step of determining a state of vigilance of the driver from the speed and/or the amplitude determined for each identified movement and from the frequency and duration of each detected period.

Method for determining a level of alertness of a driver

To improve the performance for determining obstruction of a stereoscopic system using two cameras or more, a hybrid of local and semi-global methods is provided. For each stereoscopic image formed from simultaneous left and right images, a breakdown of each left and right image into corresponding sectors is applied. Obstruction level is determined by a disparity map by sector, based on left or right images, and in which a disparity is assigned to each pixel corresponding to the best matching score. A determination of density by sector of the disparity map is carried out by reference to a fraction of pixels with a disparity considered to be valid. A state of obstruction of at least one camera is determined based on a weighted average of the probabilities of obscuring of the sectors of the disparity map obtained by comparison between the density of the sectors and a predefined density level.

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Toulouse, France

Alain Giralt