Abstract: A vehicle is equipped with a camera (which may be a stereoscopic camera) and a computer for processing the image data acquired by the camera. The image acquired by the camera is processed by the computer, and features are extracted therefrom. The features are further processed by various techniques such as object detection/segmentation and object tracking/classification. The acquired images are sometimes contaminated by optical occlusions such as raindrops, stone-chippings and dirt on the windshield. In such a case, the occluded parts of the image are reconstructed by optical flow estimation or stereo disparity estimation. The fully reconstructed image is then used for intended applications.

Abstract: A lane change assist system allows a vehicle driver to change lanes with minimum effort and stress by offering appropriate lane change options depending on the conditions of an ego vehicle and surrounding vehicles. The system includes a driving assessment device (6) configured to determine one of a plurality of driving alternatives according to signals from an ego vehicle sensing device (4), an object vehicle sensing device (2) and a driver intention detecting device (5), the driving alternatives including at least staying on a current lane, changing lanes before the object vehicle and changing lanes behind the object vehicle. The system further comprises a lane change program selection device (7) configured to select one of a plurality of pre-set lane change programs according to the determined driving alternative and other data.

Abstract: A vehicle is equipped with a camera (which may be a stereoscopic camera) and a computer for processing the image data acquired by the camera. The image acquired by the camera is processed by the computer, and features are extracted therefrom. The features are further processed by various techniques such as object detection/segmentation and object tracking/classification. The acquired images are sometimes contaminated by optical occlusions such as raindrops, stone-chippings and dirt on the windshield. In such a case, the occluded parts of the image are reconstructed by optical flow estimation or stereo disparity estimation. The fully reconstructed image is then used for intended applications.

Abstract: A driver assistance system with an architecture of general use for applications related to driver assistance, passenger safety and comfort and communication with external systems, e.g.

Abstract: A driver assistance system with an architecture of general use for applications related to driver assistance, passenger safety and comfort and communication with external systems, e.g.