Here Global B.v.

Navteq B.v.

Visteon Global Technolgoies, Inc.

Nokia Technologies Oy

Continental Automotive Gmbh

Martin Pfeifle

Jan Richter

Boris Gumhold

Jonghyun Suh

Alexander Barthel

Christof Kaiser

Andre Reichert

Peter Skvarenina

Thorsten Wilmer

Raimund Grün

Shripad Kulkarni

Abhinav Kumar

Niclas Zeller

Markus Mainberger

Tomas Jurco

Armen Poghosov

Markus Schupfner

Matthias Schulze

Markus Schäfer

Yong Gessner

Aurélien His

Peter Siniakov

David Schmitz

Volker Sasse

Uwe Tantz

Mathias Otto

Hendrick Bock

A system for providing traffic information to a driver of an ego vehicle includes at least one sensor that provides image data of detected objects, including other vehicles, in a surrounding area of the ego vehicle; a position detection device that detects a position of the ego vehicle; a display unit that renders visual information relating to an environmental model of the surrounding area of the ego vehicle, the position, and corresponding digital map data; and an image analysis unit configured to determine a vehicle characteristic of at least one other vehicle in the surrounding area of the ego vehicle from a vehicle image of the at least one other vehicle generated based on the image data from the at least one sensor and to display information on the display unit based on the determined vehicle characteristic.

Driver assistance system and method for displaying traffic information

A method for localizing a vehicle comprises transmitting first position data related to a first position of the vehicle at a first point in time from the vehicle to a server. The server computes second position data related to the first position of the vehicle at the first point in time based on the received first position data. The server transmits the second position data from the server to the vehicle. The vehicle computes third position data related to a second position of the vehicle at a second point in time based on the received second position data. The second point in time is later than the first point in time.

Method for localizing a vehicle

A computing device may identify a plurality of equally sized data blocks of a first navigation file and may identify a plurality of equally sized data blocks of a second navigation file. The computing device may perform binary difference operations between the data blocks of the first navigation file to corresponding data blocks of the second navigation file The result of the binary difference operations is stored in a plurality of navigation patch files. At least two of the plurality of navigation patch files are merged into a merged navigation patch file.

Incremental update of compressed navigational databases

A method for a vehicle includes determining a region of interest based on environment sensor data corresponding an environment of the vehicle and a machine-learned predictor configured to identify, within the environment sensor data, a region as the region of interest that at least statistically coincides with a line of sight of an occupant of the vehicle. The method also includes classifying a detected object within the determined region of interest using an object detection algorithm. The method also includes operating the vehicle in based on at least one of the detected object and the determined region of interest.

Method and control unit for detecting a region of interest

A navigation data source is provided that includes an object data set including object data indicating a spatial vacancy and/or occupancy of sub-regions of a spatial region by one or more structural objects in the spatial region. The object data references the sub-regions based on a linear order of the sub-regions in the spatial region. The object data may include interval information about an at least partially occupied interval, such as a lower interval border and/or an upper interval border. The at least partially occupied interval indicates a group of, according to the linear order, one or more successional sub-regions, at least a part of which are spatially occupied. The object data includes an occupancy sequence indicating a spatial vacancy and/or occupancy of the successional sub-regions of the at least partially occupied interval.

Navigation data source indicating spatial occupancy

A method and apparatus are provided for creating a navigation data source for use with a navigation system configured for route determination based on associated costs. The navigation data source comprises a cost data set associated with a navigation data set that represents a map of a geographic region and defines at least a plurality of gateways. Each of the gateways of the plurality of gateways may be associated with a position located within the geographic region and associated with a gateway of a further navigation data set representing a map of another geographic region. The cost data set comprises cost data that defines, for at least some of the possible gateway pairs of the plurality of gateways, at least a cost value with each cost value indicating a cost for a route between gateways of a respective gateway pair.

Gateway cost data sets for fast routing

A method includes identifying, in or after a second process of compiling data that yields a second navigation database, a navigation data item having a changed position in a list of the second navigation database. The changed position is different to a previous position of the navigation data item in a list of a first navigation database which is yield from a first process of compiling data performed before the second process of compiling data. The method also includes generating first update data for updating the first navigation database to an intermediate navigation database in a first updating step. The first update data represents generic update instructions and/or information for changing a data reference pointing to the previous position of the identified navigation data item to a data reference pointing to the changed position of the identified navigation data item. Corresponding apparatuses and computer readable storage mediums are also provided.

Reducing size of update package data for navigation databases

A system for correlating sensor data in a vehicle includes a first sensor disposed on the vehicle to detect a plurality of first objects. A first object identification controller analyzes the first data stream, identifies the first objects, and determines first characteristics associated therewith. A second sensor disposed on the vehicle detects a plurality of second objects. A second object identification controller analyzes the second data stream, identifies the second objects, and determines second characteristics associated therewith. A model generator includes a plausibility voter to generate an environmental model of the objects existing in space around the vehicle. The model generator may use ASIL decomposition to provide a higher ASIL level than that of any of the sensors or object identification controllers alone. Matchings between uncertain objects are accommodated using matching distance probability functions and a distance-probability voter. A method of operation is also provided.

System and method for correlating vehicular sensor data

A method for producing an update package for a navigational database comprises: &#x2014;providing a first update region of the navigational database, and &#x2014;providing a first gateway table of the first update region such that the first gateway table associates each gateway of the first update region with said first update region and with at least one other update region.

Updating single regions of a navigational database

A computing device may identify a series of bits representative of a first binary large object (BLOB) for navigation data including road segments and road attributes. The computing device duplicates each bit of the series of bits a predetermined number of times to form a first bit string. The first bit string is larger than the series of bits by a factor of the predetermined number. The computing device performs a binary difference of the first bit string to a second bit string representative of a second BLOB. A result of the binary difference is stored in a navigation patch file.

Binary difference operations for navigational bit streams

A system and method for highly automated driving of a vehicle to detect and classify pedestrians and traffic signs and other vehicles are provided. The system includes an on-vehicle camera for receiving image data. A location determining module is also on the vehicle to determine a location of the vehicle and a vehicle memory unit on the vehicle storing at least one particularized convolutional neural networks to process the image data. A vehicle processor is communicatively coupled to the vehicle memory unit and the camera and the location determining module and is configured to collect vehicle location data with the location determining module. The vehicle processor is also configured to process the image data using the at least one particularized convolutional neural network based the vehicle location data and environmental conditions around the vehicle to detect and classify pedestrians and traffic signs and other vehicles.

Map and environment based activation of neural networks for highly automated driving

A method is disclosed comprising: determining, using a processor, a generalization factor associated with a data element of a database comprising navigation data, the generalization factor depending on a usage information associated with the data element, wherein the generalization factor is indicative to a level of details of a new data element to be generated based on the data element. Further disclosed are a corresponding apparatus, a corresponding system and a corresponding computer readable storage medium.

Generalization factor based generation of navigation data

A method comprising providing or receiving updated information, previous and said updated information associated with a geographic region, said previous information comprising information about one or more links usable for connecting to one or more links in a different geographic region, and said updated information comprising at least said previous information and new Information about one or more links for connecting to one or more links in said different geographic region.

Method and apparatus for use in navigational applications

A method and system for accessing database tables that contain binary large objects (BLOBs) is disclosed. The method includes encapsulating BLOB-based tables with virtual tables, which allows a user to access the content of the BLOBs via SQL. In one example, the virtual table has a generic table structure that consists of columns (e.g., class name, field name, and field value) and information regarding what level of an object hierarchy contains an element. In another example, a user can define the structure of the virtual table by identifying which object attributes to report.

Virtual table generator for analyzing geographic databases

It is disclosed to determine, in a second process of compiling data that yields a second compiled database, whether a first compiled database, which is yield from a first process of compiling data performed before the second process of compiling data, contains first object data defining a first object that is considered at least similar to a second object; and to include, in the second process of compiling data, second object data defining the second object into the second compiled database, if it is determined that first object data defining a first object that is considered at least similar to the second object is not contained in the first compiled database, and including the first object data defining the first object into the second compiled database otherwise. Further disclosed are corresponding apparatuses, a corresponding system and a corresponding computer program code.

Growing community of inventors

Seewald, Germany

Martin Pfeifle