Valeo Vision

Valeo Schalter Und Sensoren Gmbh

Caroline Robert

Joël Leleve

Samia Ahiad

David Hue

Xiyuan Zhang

Benoist Fleury

Julien Rebut

Patrick Bonhoure

Brouk Wedajo

Yan Quelquejay

Alice Mulin

Vanessa Picron

Julia Petit

Anne Laliron

Michel Leeman

The invention relates to a vehicle () with at least one camera (), by means of which at least one image area of a surrounding of the vehicle () is capturable, the image area comprising a plurality of pixels and being arranged obliquely above a vehicle front as viewed in the direction of travel of the vehicle (), and with a tunnel detection device () designed for determining an average brightness of the at least one image area. The tunnel detection device () comprises a device () for feature or edge detection, by means of which differences in the brightness of pixels differing from each other are capturable and thus features characterized by abrupt changes in brightness are detectable in the at least one image area. Moreover, the invention relates to a method for operating a camera arrangement for a vehicle ().

Vehicle and method for operating a camera arrangement for a vehicle

The invention relates to a method of raindrop detection on a vehicle windscreen by capturing images using a camera which is at least focused on the windscreen, including a step of detecting edges () in a research area of said captured images, characterized in that said method of raindrop detection comprises a rejection step () in which edges that are uncharacteristic with respect to a raindrop are rejected. This invention also relates to an associated driving assistance device.

Method of raindrop detection on a vehicle windscreen and driving assistance device

The invention relates to a method of fog and raindrop detection on a windscreen (), comprising a raindrop detection application () and a fog detection application (), characterized in that said fog detection application () comprises a step () in which an indication of the presence of raindrop is detected, said indication of raindrop presence triggering a switch from said fog detection application () to said raindrop detection application ().

Method of fog and raindrop detection on a windscreen and driving assistance device

A camera set up for fitting on board a motor vehicle. The camera has an electronic sensor, a multifocal, particularly bifocal optical device, an optical lens focused in long-range field, the multifocal optical device and the optical lens being set up to be able to form a first image (IM) on the sensor, focused in long-range field, and a second image (IM) focused in close-range field, these first and second images extending into respective distinct regions of the sensor.

Camera set up for fitting on board a vehicle

A system and method for controlling a vehicle headlamp, the headlamp being equipped with an automatic switching unit between high beam and low beam lighting modes and with a bending light function (DBL). The method comprises a step of making the bending light function (DBL) change from a first active state to a second state for detecting a combination of conditions comprising an active state of the automatic switching unit between high beam and low beam lighting modes and an active state of the high beam lighting mode.

Method for controlling a vehicle headlamp

A detection method, system and device for a motor vehicle (V). The method, system and device uses at least one camera which has a predetermined field of vision. The method includes the following steps:

Detection method for a motor vehicle

A system and method to support the driving of a motor vehicle comprising in particular a system capable of capturing images, wherein the system for capturing images comprises a stereoscopic image capturing system having at least a first camera and a second camera, with the first camera presenting a field of vision) greater than the field of vision of the second camera, and with the stereoscopic system thereby conferring a degree of multifunctionality to the device supporting the driving of the vehicle.

Device intended to support the driving of a motor vehicle comprising a system capable of capturing stereoscopic images

A process for the detection from a vehicle of a visibility interference phenomenon, comprising the following steps: the emission of a beam of light to illuminate the rear of the vehicle, the beam of light being emitted into a field of vision of a camera mounted in the vehicle, and the determination of a presence and the nature of a visibility interference phenomenon on the basis of at least one image captured by the camera.

System for the detection by a motor vehicle of a phenomenon that interferes with visibility

A method for detecting a phenomenon affecting visibility generated by an automotive vehicle, comprising the steps of emitting a first beam of light, which beam of light can be reflected by an obstacle; emitting a second reference beam of light using a second emitting source; receiving on a receiver the reflected beam of light resulting from the first beam of light being reflected by an obstacle, and the second beam of light sent directly to the input of the receiver; generating one or more detection signals as a function of a combination of the reflected beam of light in the event of an obstacle and a reference beam; and comparing the modulation of one or more detection signals generated using reference data. According to the invention, the first and second beams of light are infra-red beams, and they are directed towards the rear of the vehicle.

Method for detecting a spray of water at the rear of a vehicle

A method and system according to the invention comprises the means for or steps of: acquiring, by means of a digital image taking apparatus, a digital image with aberration of a scene, the digital image incorporating at least a first image zone and a second image zone, the first and second image zones having respectively at least a first resolution and at least a second resolution, the first and second resolutions being different, calculating a deployed digital image, by deployment of at least one zone of the digital image with aberration, applying an object detection algorithm in the deployed digital image, and supplying information on each object detected in the deployed digital image.

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Paris, France

Caroline Robert