Einecke
Nils Einecke, Muhlheim DE
Patent application number | Description | Published |
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20110279652 | TWO-STAGE CORRELATION METHOD FOR CORRESPONDENCE SEARCH - The invention presents a method for comparing the similarity between image patches comprising the steps of receiving form at least two sources at least two image patches, wherein each source supplies an image patch, comparing the received image patches by extracting a number of corresponding subpart pairs from each image patch, calculating a normalized local similarity score between all corresponding subpart pairs, calculating a total matching score by integrating the local similarity scores of all corresponding subpart pairs, and using the total matching score as an indicator for an image patch similarity, determining corresponding similar image patches based on the total matching score. | 11-17-2011 |
Nils Einecke, Offenbach DE
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20130335569 | VEHICLE WITH IMPROVED TRAFFIC-OBJECT POSITION DETECTION - A method is proposed for detecting the position of a target object in the environment of a host vehicle, comprising the steps of | 12-19-2013 |
20140049644 | SENSING SYSTEM AND METHOD FOR DETECTING MOVING OBJECTS - The present invention presents a sensing system | 02-20-2014 |
20140198955 | SYSTEM AND METHOD FOR DISTORTED CAMERA IMAGE CORRECTION - The invention provides an image processing method for processing a sequence of images, comprising the steps of: obtaining, from a visual sensor, at least two images of the sequence of images, detecting whether the images include a distortion, determining an image warping function at least partially compensating the distortion, applying the determined warping function to the image(s) including the distortion, and calculating by a processing unit, and outputting, an optical flow as a displacement vector field form the images. | 07-17-2014 |
20150025789 | TECHNIQUE FOR LANE ASSIGNMENT IN A VEHICLE - A technique for assigning lanes on a road to objects moving in a vicinity of a vehicle on the road is proposed. A method embodiment of the invention comprises the steps of providing trajectories, wherein the or each trajectory represents a time sequence of positions of a moving object; selecting first and second objects and determining a distance between a current position of the first object and the trajectory of the second object; comparing the distance with a predefined threshold; and providing, based on a result of the comparison, a lane assignment indicating a lane to which the second object is assigned. | 01-22-2015 |
Nils Einecke, Offenbach/main DE
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20130190965 | SYSTEM, METHOD AND APPARATUS FOR UNSUPERVISED ADAPTATION OF THE PERCEPTION OF AN AUTONOMOUS MOWER - The present invention presents a method and system for an autonomous mower attached with a camera, wherein the control of the parameters of the camera and the control of the mower movement and grass detection are optimized holistically during operation. The present invention mitigates the camera sensing limits by adapting the movement speed of the mower. Furthermore, the camera control optimizes the visibility of grass by using the grass mask of a grass segmentation to calculate updated exposure, gain and aperture values only from grass pixels. The grass segmentation tracks changes in the grass color that are caused by illumination differences. Optionally, the system is equipped with a head light used to further improve the camera signal quality in conjunction with the control of the camera parameters and the movement speed of the mower. | 07-25-2013 |
20140032033 | TRAINABLE AUTONOMOUS LAWN MOWER - The present invention proposes a profound user-mower interaction, which enables the user to teach a robotic lawn mower for improving its visual obstacle detection. The main idea of the invention is that the user can show some typical obstacles from his garden to the mower. This will increases the performance of the visual obstacle detection. In the simplest scenario the user just places the mower in front of an obstacle, and activates the learning mechanism of the classification means (module) of the mower. The increasing use of smart devices such as smart phones or tablets enables also more elaborated learning. For example, the mower can send the input image to the smart device, and the user can provide a detailed annotation of the image. This will drastically improve the learning, because the mower is provided with ground truth information. | 01-30-2014 |