Abstract: A driver assistance system (10) for a motor vehicle comprises an imaging means (11) for acquiring images from a surrounding of the motor vehicle, and a processing means (14) adapted to perform image processing of images (30) recorded by the imaging means (11) and to detect an oncoming vehicle (33) by identifying its head lights (34) as a result of the image processing. The processing means (14) is adapted to detect, in the recorded images (30), a light aura (37) originating from at least one light source (34) hidden to the imaging means (11), and to use the light aura detection in the oncoming vehicle detection.

Abstract: A driver assisting system (10) for a motor vehicle (20) comprises an imaging means (11) adapted to acquire images from a surrounding of the motor vehicle (20), a processing means (14) adapted to apply image processing to images acquired by the imaging means (11), and a driver assisting means (18) controlled by the processing means (14) to provide information to the driver based on a result of the image processing. The processing means (14) is adapted to detect from the image processing a periodically blinking warning light (22), and to control the driver assisting means (18) in order to inform and/or alert the driver in case a periodically blinking warning light (22) is detected.

Abstract: A driver assistance system (10) for a motor vehicle comprises an imaging means (11) for acquiring images from a surrounding of the motor vehicle, and a processing means (14) adapted to perform image processing of images (30) recorded by the imaging means (11) and to detect an oncoming vehicle (33) by identifying its head lights (34) as a result of the image processing. The processing means (14) is adapted to detect, in the recorded images (30), a light aura (37) originating from at least one light source (34) hidden to the imaging means (11), and to use the light aura detection in the oncoming vehicle detection.

Abstract: A method of automatically detecting objects in front of a motor vehicle comprises the steps of pre-storing template objects representing possible objects in front of the motor vehicle, detecting images from a region in front of the vehicle by a vehicle mounted imaging means, generating a processed image containing disparity or vehicle-to-scene distance information from the detected images, comparing the pre-stored template objects with corresponding regions-of-interest of the processed image, and generating a match result relating to the match between the processed image and the template objects. Each of the pre-stored template objects is a flat two-dimensional multi-pixel area of predetermined shape.

Abstract: A vision method for automatically detecting objects in front of a motor vehicle, comprises the steps of detecting images from a region in front of the vehicle by a vehicle mounted imaging means; generating from said detected images a processed image, containing disparity or vehicle-to-scene distance information; comparing regions-of-interest of said processed image to template objects relating to possible objects in front of the motor vehicle; calculating for each template object a score relating to the match between said processed image and the template object; and identifying large scores of sufficient absolute magnitude of said calculated scores. The vision method further comprises the steps of applying an algorithm adapted to identify groups of said large scores, and assigning an identified group of large scores to a single match object.

Abstract: A method of automatically detecting objects in front of a motor vehicle comprises the steps of pre-storing template objects representing possible objects in front of the motor vehicle, detecting images from a region in front of the vehicle by a vehicle mounted imaging means, generating a processed image containing disparity or vehicle-to-scene distance information from the detected images, comparing the pre-stored template objects with corresponding regions-of-interest of the processed image, and generating a match result relating to the match between the processed image and the template objects. Each of the pre-stored template objects is a flat two-dimensional multi-pixel area of predetermined shape.