Hybrid images merge the benefits of map views and satellite images. A geographic information system includes a geographic information server and at least one database containing a plurality of map views and satellite images. A decomposition module of the geographic information server decomposes the map views and the satellite images into at least high frequency components and low frequency components. A map view and satellite image hybridization module blends the high frequency components from the map view and the high frequency components from the satellite image. Then, the hybridization module combines the low frequency components of the map view with the blended high frequency components from both the map view and the satellite image to form a hybrid image. The hybrid image can subsequently be stored in a database of the geographic information system and/or served to a client device via a network.
Determination Of Lane Connectivity At Traffic Intersections For High Definition Maps
According to an aspect of an embodiment, operations may comprise accessing an HD map of a region comprising information describing an intersection of two or more roads and describing lanes of the two or more roads that intersect the intersection, automatically identifying constraints on the lanes at the intersection, automatically calculating, based on the constraints on the lanes at the intersection, lane connectivity for the intersection, displaying, on a user interface, the automatically calculated lane connectivity for the intersection, receiving, from a user through the user interface, confirmation that the automatically calculated lane connectivity for the intersection is an actual lane connectivity for the intersection, and adding the actual lane connectivity for the intersection to the information describing the intersection in the HD map.
- Palo Alto CA, US Lin Yang - San Carlos CA, US Ming Cui - San Jose CA, US
International Classification:
G01C 21/36 G06T 7/70 G06T 7/10
Abstract:
According to an aspect of an embodiment, operations may comprise receiving a set of one or more lane line points each representing a location on a lane line in an HD map, determining an approximate lane line point representing an approximate location on the lane line in the HD map, identifying a region of the HD map surrounding the approximate lane line point, automatically calculating a predicted lane line point in the region representing a predicted location of the lane line in the HD map, displaying, on a user interface, the predicted lane line point on the lane line in the HD map, receiving, from a user through the user interface, confirmation that the predicted lane line point is an actual lane line point, and adding the actual lane line point to the set of one or more lane line points representing locations on the lane line in the HD map.
Lane Network Construction Using High Definition Maps For Autonomous Vehicles
An HD map system represents landmarks on a high definition map for autonomous vehicle navigation, including describing spatial location of lanes of a road and semantic information about each lane, and along with traffic signs and landmarks. The system generates lane lines designating lanes of roads based on, for example, mapping of camera image pixels with high probability of being on lane lines into a three-dimensional space, and locating/connecting center lines of the lane lines. The system builds a large connected network of lane elements and their connections as a lane element graph. The system also represents traffic signs based on camera images and detection and ranging sensor depth maps. These landmarks are used in building a high definition map that allows autonomous vehicles to safely navigate through their environments.
Ming Cui - Sunnyvale CA, US Cheng Xu - Sunnyvale CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06Q 10/06
Abstract:
Tasks are assigned to operators for performing the tasks during a work period, for example, a shift. A model is generated for predicting the time taken by operators for completing a given task. A mapping from a subset of tasks to the operators is determined so as to maximize a total value of tasks from the subset. The tasks are assigned to operators based on the mapping. An example of tasks assigned to operators is fixing of defects identified in business listings associated with maps. The defects are associated with value determined based on various factors including the location of the business, the number of times the business listing is requested, the number of times the defect was reported, or the type of information in the business listing that is incorrect.
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