Abstract: A coated polymeric multilayer article including: (i) a polymer substrate including (a) a first polyolefin-based layer including a primary ethylene-based polymer; and (b) an adhesion layer on at least one surface of the first polyolefin-based layer including one or more secondary ethylene-based polymers selected from secondary polyethylene homopolymers, secondary ethylene-based copolymers of ethylene with one or more C3-C10 alpha olefin monomers or ethylene-vinyl acetate (EVA) copolymer; and (ii) a coating layer on at least one surface of the adhesion layer. A method of producing a coated polymeric multilayer article, the method including the steps of: forming a polymer substrate including a first polyolefin-based layer and an adhesion layer on at least one surface of the polyolefin-based layer; and applying a coating layer composition on at least one surface of the adhesion layer.

Abstract: A device developed specifically to perform adhesive sheet cutting operation, with one antiskid face (Sandpaper), which is applied over a Skateboard Shape upper face. It is a grip (E1), in which rear end a geometric volume (V1) is formed, which upper face (F1) is bent downward; and between bent face (F1) highest region and grip (E1) rear end upper corner is formed by a recess (R1) with ‘C’ letter shape cross-section, and a knife end (N1) is slightly projected beyond recess (R1), limits, standing over bent face (F1) region.

Abstract: The present invention relates to a method for determining a personalised docosallexaenoic acid (DHA) supplementation dose to be taken by a mother to meet the DHA requirements of the mother's infant.

Abstract: The present invention relates to the field of controlled release systems of a substance in a medium, as well as embodiments by capsules using biodegradable polymers such as lignin and PVA.

Abstract: A method to identify possible debris clogging area in a machined object includes simulating movement of a plurality of debris particles provided within a modeled object having a plurality of cavities in accordance with a debris clogging evaluation to identify inaccessible areas along the plurality of cavities. The plurality of debris particles is indicative of solid debris and the modeled object is a multidimensional computer designed model. The method further includes determining an egress characteristic of the plurality of cavities based on the simulated movement of the plurality of debris particles. The egress characteristic includes a contact area, an obstruction area, or a combination thereof.

Abstract: A traffic monitoring assembly includes a roof rack that is mountable to a roof of a vehicle. A global positioning system transceiver is attached to the roof rack to receive global positioning system coordinates of the vehicle. A laser sensor is attached to the roof rack for detecting the distance between the vehicle and adjacent traffic vehicles traveling on the same roadway as the vehicle. An ultrasonic sensor is attached to the roof rack to capture ultrasonic sound waves reflected from objects near the vehicle. A camera is attached to the roof rack to capture imagery of the environment surrounding the vehicle. A radar sensor is coupled to the roof rack to emit a radar signal for detecting the speed of adjacent traffic vehicles travelling on the same roadway as the vehicle.

Abstract: The invention relates to a camera system (1) for a vehicle (2). The camera system (1) is configured to acquire image data of a surrounding of the vehicle (2) and comprises a camera (10) and a control module (20). The control module (20) is configured to determine, whether a calibration of an intrinsic parameter of the camera system (1) is required, by determining an error in a back projection, a forward projection and/or a reprojection of the image data and by determining whether the error exceeds a predefined threshold.

Abstract: A method includes generating a 3D computer-coded model of a component and performing simulations on the model to determine an onset of gross plastic deformation in a plurality of regions of the component, wherein the model is stored in a computer-readable medium.

Abstract: A method is disclosed for providing information to guide a user along a determined route to a destination through a navigable network using a navigation apparatus. The method comprises obtaining, using instructive data, a next manoeuvre to be made by the user and a distance to the next manoeuvre from a current position of the navigation apparatus. The method further comprises determining, using informative data, whether there is at least one event within a predetermined distance of the current position of the navigation apparatus.

Abstract: A method to identify possible debris clogging area in a machined object includes simulating movement of a plurality of debris particles provided within a modeled object having a plurality of cavities in accordance with a debris clogging evaluation to identify inaccessible areas along the plurality of cavities. The plurality of debris particles is indicative of solid debris and the modeled object is a multidimensional computer designed model. The method further includes determining an egress characteristic of the plurality of cavities based on the simulated movement of the plurality of debris particles. The egress characteristic includes a contact area, an obstruction area, or a combination thereof.

Abstract: The invention relates to a camera system (1) for a vehicle (2). The camera system (1) is configured to acquire image data of a surrounding of the vehicle (2) and comprises a camera (10) and a control module (20). The control module (20) is configured to determine, whether a calibration of an intrinsic parameter of the camera system (1) is required, by determining an error in a back projection, a forward projection and/or a reprojection of the image data and by determining whether the error exceeds a predefined threshold.

Abstract: A method and device for determining an ego-motion of a vehicle are disclosed. Respective sequences of consecutive images are obtained from a front view camera, a left side view camera, a right side view camera and a rear view camera and merged. A virtual projection of the images to a ground plane is provided using an affine projection. An optical flow is determined from the sequence of projected images, an ego-motion of the vehicle is determined from the optical flow and the ego-motion is used to predict a kinematic state of the car.

Abstract: The application provides a method of calibrating a camera of a vehicle. The vehicle has a reference frame. The method comprises taking an image of a scene by the camera. The ground plane of the vehicle is then determined according to features of the image. An origin point of the vehicle reference frame is later defined as being located on the determined ground plane. A translation of a reference frame of the camera is afterward determined for aligning the camera reference frame with the vehicle reference frame.

Abstract: A method and a device for image stabilization of an image sequence of one or more cameras of a vehicle are disclosed. Images of the surroundings of the vehicle are recorded and image points of the recorded images are projected to a unit sphere, where the projection includes applying a lens distortion correction. For each of the one or more cameras, a vanishing point is calculated using the projected image points on the unit sphere and a motion of the vanishing point on the unit sphere is tracked. The motion of the vanishing point is used to calculate a corrected projection to a ground plane.

Abstract: A method is disclosed for providing information to guide a user along a determined route to a destination through a navigable network using a navigation apparatus. The method comprises obtaining, using instructive data, a next manoeuvre to be made by the user and a distance to the next manoeuvre from a current position of the navigation apparatus. The method further comprises determining, using informative data, whether there is at least one event within a predetermined distance of the current position of the navigation apparatus.

Abstract: The application provides a method of calibrating a camera of a vehicle. The vehicle has a reference frame. The method comprises taking an image of a scene by the camera. The ground plane of the vehicle is then determined according to features of the image. An origin point of the vehicle reference frame is later defined as being located on the determined ground plane. A translation of a reference frame of the camera is afterward determined for aligning the camera reference frame with the vehicle reference frame.

Abstract: A method and a device for image stabilization of an image sequence of one or more cameras of a vehicle are disclosed. Images of the surroundings of the vehicle are recorded and image points of the recorded images are projected to a unit sphere, where the projection includes applying a lens distortion correction. For each of the one or more cameras, a vanishing point is calculated using the projected image points on the unit sphere and a motion of the vanishing point on the unit sphere is tracked. The motion of the vanishing point is used to calculate a corrected projection to a ground plane.

Abstract: A method and device for determining an ego-motion of a vehicle are disclosed. Respective sequences of consecutive images are obtained from a front view camera, a left side view camera, a right side view camera and a rear view camera and merged. A virtual projection of the images to a ground plane is provided using an affine projection. An optical flow is determined from the sequence of projected images, an ego-motion of the vehicle is determined from the optical flow and the ego-motion is used to predict a kinematic state of the car.

Abstract: In an embodiment, an animal detection system (11) includes a surround view system (12), a location determination system (13) and a processing module (14). The processing module (14) is configured to receive data from the surround view system (12) and receive data regarding the location of the vehicle (10) from the location determination system (13). The processing module (14) is configured to determine if the location of the vehicle (10) is within an animal zone, and if the location of the vehicle (10) is within an animal zone, to process data received from the surround view system (12). If the data from the surround view system (12) indicates the presence of an animal, the processing module (14) activates an alert (19).