Tomtom Global Content B.v.

Lukasz Piotr Taborowski

Marcin Michal Kmiecik

Rafal Jan Gliszczynski

Arkadiusz Wysocki

Krysztof Miksa

A method of and arrangement for mapping first range sensor data from a first range sensor to image data from a camera are disclosed. In at least one embodiment, the method includes: receiving time and position data from a position determination device on board a mobile system, as well as the first range sensor data from the first range sensor on board the mobile system and the image data from the camera on board the mobile system; identifying a first points cloud within the first range sensor data, relating to at least one object; producing a mask relating to the object based on the first points cloud; mapping the mask on object image data relating to the same object as present in the image data from the at least one camera; and performing a predetermined image processing technique on at least a portion of the object image data.

Method of and arrangement for mapping range sensor data on image sensor data

A method of producing lane information for use in a map database is disclosed. In at least one embodiment, the method includes acquiring one or more source images of a road surface and associated position and orientation data, the road having a direction and lane markings parallel to the direction of the road; acquiring road information representative of the direction of said road; transforming the one or more source images to obtain a transformed image in dependence of the road information, wherein each column of pixels of the transformed image corresponds to a surface parallel to the direction of said road; applying a filter with asymmetrical mask on the transformed image to obtain a filtered image; and producing lane information from the filtered image in dependence of the position and orientation data associated with the one or more source images.

Method of and apparatus for producing lane information

A method of detecting objects from terrestrial based mobile mapping data is disclosed, wherein the terrestrial based mobile mapping data has been captured by way of a terrestrial based mobile mapping vehicle driving on a road having a driving direction, the mobile mapping data including laser scanner data, source images obtained by at least one camera and position and orientation data of the vehicle, wherein the laser scanner data includes laser points, each laser point having associated position and orientation data, and each source image comprises associated position and orientation data. In at least one embodiment, the method includes: retrieving a position and orientation of the vehicle; filtering the laser scanner data in dependence of the position and orientation of the vehicle to obtain laser points corresponding to regions of interest; retrieving a source image associated with the position and orientation of the vehicle; mapping the laser points corresponding to regions of interest to image coordinates of the source image to generate a recognition mask; combining the recognition mask and the source image to obtain candidate 3D images representative of possible objects within the regions of interest; and, detecting a group of objects from the candidate 3D images. By combining image recognition and laser scanner recognition the detection rate can be increased to a very high percentage, thereby substantially reducing human effort. Furthermore, the generating of regions of interest in the laser data, enables a significant reduction of the processing power and/or the processing time needed to detect the objects in the images.

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Lask, Poland

Lukasz Piotr Taborowski