Woven Planet North America, Inc.

Lyft, Inc.

Technische Universitat Munchen

Thomas Schiwietz

Clemens Marschner

Wilhelm Richert

Holger H Rapp

Patrick Dubroy

Emil Constantin Praun

Vinay Shet

Wolfgang Hess

Darko Zikic

Nikolai Morin

Joachim Georgii

Rudiger Westermann

The present invention relates to a method of generating an overhead view image of an area. More particularly, the present invention relates to a method of generating a contextual multi-image based overhead view image of an area using ground map data and field of view image data. Various embodiments of the present technology can include methods, systems and non-transitory computer readable media and computer programs configured to receive a plurality of images of the geographical area, determine a ground map of the geographical area, divide the ground map into a plurality of sampling points of the geographical area; and determine a color for each of the plurality of sampling points, wherein the color of each of the sampling points is determined by determining a correlation between the sampling points of the geographical area and color of the sampling points captured in at least one of the plurality of images.

Overhead view image generation

Systems, methods, and non-transitory computer-readable media can receive a geometric map and a semantic map associated with a geographic area, the semantic map comprising semantic data associated with vehicle navigation. A first semantic position estimate associated with a first piece of semantic data contained in the semantic map is generated based on semantic data location information associated with the first piece of semantic data. A final position for the first semantic position estimate is received. One or more three-dimensional semantic labels are applied to the geometric map based on the final position of the first semantic position estimate. A warped semantic map is generated. Generating the warped semantic map comprises warping the semantic map based on the one or more three-dimensional semantic labels.

Systems and methods for aligning map data

Examples disclosed herein may involve (i) obtaining a first layer of map data associated with sensor data capturing a geographical area, the first layer of map data comprising an aggregated overhead-view image of the geographical area, where the aggregated overhead-view image is generated from aggregated pixel values from a plurality of images associated with the geographical area, (ii) obtaining a second layer of map data, the second layer of map data comprising label data for the geographical area derived from the aggregated overhead-view image of the geographical area, and (iii) causing the first layer of map data and the second layer of map data to be presented to a user for curation of the label data.

Manual curation tool for map data using aggregated overhead views

The present invention relates to a method of generating an overhead view image of an area. More particularly, the present invention relates to a method of generating a contextual multi-image based overhead view image of an area using ground map data and field of view image data. Various embodiments of the present technology can include methods, systems and non-transitory computer readable media and computer programs configured to determine a ground map of the geographical area; receiving a plurality of images of the geographical area; process the plurality of images to select a subset of images to generate the overhead view of the geographical area; divide the ground map into a plurality of sampling points of the geographical area; and determine a color of a plurality of patches of the overhead view image from the subset of images, each patch representing each sampling point of the geographical area.

Generating training data from overhead view images

Examples disclosed herein may involve (i) obtaining an aggregated overhead view image of a geographical area that has been generated by a pipeline for generating aggregated overhead view images, the geographical area comprising a plurality of regions, where the aggregated overhead view image is generated from aggregating pixel values from a plurality of source images of the geographical area, (ii) generating one or more reprojection images of one or more of the regions of the geographic area from the aggregated overhead view image, (iii) identifying, from the plurality of source images, one or more source images that capture the one or more regions of the geographical area, (iv) calculating one or more differences between the identified one or more source images and the one or more reprojection images, and (v) determining one or more error corrections to be applied to the pipeline for generating overhead view images.

Mapping pipeline optimization using aggregated overhead view reconstruction

Various embodiments of the present technology can include methods, systems and non-transitory computer readable media and computer programs configured to determine one or more images of a generated overhead view of a geographical area. The generated overhead view is generated from aggregated pixel values determined from correlated pixel values in images of the geographical area. The disclosed approaches identify semantic map features as being present in the images of the overhead perspective of the geographic area. The disclosed approaches extract the semantic map features of the geographical area from the images of the substantially overhead perspective of the geographical area. The disclosed approaches translate the extracted semantic map features to a semantic map layer of a geometric map associated with the geographical area.

Map feature extraction using overhead view images

A method for on-the-fly segmentations for image deformations, includes: selecting an object in an image that is displayed on a computer screen; immediately after selecting the object, automatically segmenting the object to find a boundary of the object and marking an area inside the boundary undeformable and an area outside the boundary deformable; and dragging the object to a desired location in the image while the area inside the boundary remains stiff and the area outside the boundary deforms.

System and method for on-the-fly segmentations for image deformations

A method for deforming an image using a physical model includes inputting the image, discrediting the image into a grid, applying forces to the grid upon receiving an input command for dragging the grid, updating a mesh deformation of the grid according to the forces, and wrapping the image according to a deformed mesh to produce a deformed image, wherein a wrapped image is displayed on an display device.

Growing community of inventors

Munich, Germany

Thomas Schiwietz