Robert Boschgmbh

Jan Rohde

Holger Mielenz

Daniel Zaum

Ruediger-Walter Henn

Carsten Hasberg

Martin Mueller

Thomas Michalke

Marco Limberger

Stefan Hoffmann

Volker Hofsaess

Philipp Lehner

Michael Pagel

Christian Passmann

Michael Gabb

Holger Andreas Banzhaf

Gernot Schroeder

A method for generating a feature-based localization map for a global navigation satellite system (GNSS)-based localization and/or a feature-based localization includes generating feature information for the feature-based localization map using at least one GNSS information, generating GNSS-related meta-information that allows inferences to be drawn about a GNSS situation on which the generation of the feature information was based, and assigning the generated GNSS-related meta-information to the generated feature information.

Method for generating a feature-based localization map for a GNSS-based and/or feature-based localization

A method for forming a localization layer for a digital localization map for automated driving. The method includes: providing the localization layer for a defined region; providing a planning layer for the region; and extracting alignment features from the localization layer that is provided for an alignment with the planning layer, the alignment features being extracted in such a way from the localization layer that an inadmissible deformation of the localization layer may be recognized during the alignment of the planning layer with the localization layer.

Method for forming a localization layer of a digital localization map for automated driving

A method for generating a map of the surroundings of a vehicle including at least one sensor. First data are acquired by the vehicle, the first data including a position of the vehicle and information about the type of the sensor. The first data are transmitted to a central device by the vehicle. Perception parameters are selected by the central device in view of the transmitted first data. The selected perception parameters are received by the vehicle, and the sensor is configured, using the selected perception parameters. The surroundings of the vehicle are monitored by the sensor, raw data being recorded, and the raw data being filtered by the vehicle, using the selected perception parameters. Second data are transmitted to the central device by the vehicle, the second data representing the monitored surroundings. A map is generated and/or updated by the central device based on the second data.

Method for generating a map of the surroundings of a vehicle

A method for localizing a more highly automated vehicle (HAF), in particular a highly automated vehicle, in a digital map. The method includes: ascertaining a global pose estimation for the HAF using a localization module of a vehicle system of the HAF, the global pose estimation comprising a position and orientation of the HAF; transmitting at least one landmark position and at least one associated landmark property to the vehicle system; ascertaining a relative position of the landmark position concerning the HAF at least partially on the basis of the pose estimation and the landmark position; performing at least one sensor measurement and checking that the at least one landmark property is detectable at the relative position; and outputting an error indicator as the result of the checking. A corresponding system and a computer program are also described.

Method for localizing a more highly automated vehicle (HAF), in particular a highly automated vehicle, and a vehicle system

A method and device for operating a vehicle comprising a step of recording environment data values, which represent an environment of the vehicle, the environment comprising at least one environmental feature; a step of determining a comparative value of a comparison between the at least one environmental feature and a map, the map comprising at least one map feature, the at least one environmental feature corresponding the at least one map feature; a step of determining an up-to-dateness of the map, based on a comparison of the comparative value with a threshold value; and a step of operating the vehicle, as a function of the up-to-dateness of the map.

Method and device for operating a vehicle

A method, which can be implemented by a control unit, for carrying out a localization of at least one vehicle by a vehicle-side control unit includes receiving measuring data from at least one sensor, ascertaining at least one marking from the measuring data, and associating the ascertained marking with a marking entered into a digital map for determining a position.

Localization in complex traffic scenarios with the aid of markings

A method and device for creating a localization map, including a step of receiving environmental data values, a step of dividing the environmental data values into at least two separate data records, a step of creating a plurality of partial maps, a step of creating the localization map and a step of making the localization map available.

Method and device for creating a localization map

A method and a device for determining a highly precise position and for operating an automated vehicle, including: detecting surroundings data values, the surroundings data values representing surroundings of the automated vehicle, the surroundings encompassing at least two surroundings features, determining a pattern, as a function of the at least two surroundings features, reading in map data values, the map data values representing a map, the map representing at least the surroundings of the automated vehicle, the map encompassing a reference pattern, determining the highly precise position of the automated vehicle, proceeding from a comparison of the pattern to the reference pattern, and operating the automated vehicle, as a function of the highly precise position.

Method and device for determining a highly precise position and for operating an automated vehicle

A method and device for operating at least two automated vehicles including picking up signals, which are transmitted in each case from the at least two automated vehicles; inputting a map as a function of the signals, determining a common driving strategy for the at least two automated vehicles in a way that optimizes a localization potential of the at least two automated vehicles on the basis of the map and as a function of the signals, and providing the common driving strategy for operating the at least two automated vehicles. A vehicle device for operating an automated vehicle, which includes a transmitter and receiver device, and a control unit is also provided.

Method and device for operating at least two automated vehicles

A localization system includes at least three locally defined locating devices whose clocks are synchronized and that receive signals of at least one vehicle; and a determination device that is configured to receive the signals of the at least one vehicle and data regarding distances of the locating devices relative to the vehicle, ascertain from the received data a surroundings model containing position data of the vehicle, and wirelessly transmit the surroundings model to the vehicle.

Localization system

A method for providing vehicle-trajectory information. The method includes a read-in task, in which at least one item of inertial information is read in that indicates at least one parameter of a movement of a vehicle during travel. In addition, the method includes an acquisition task, in which location information is acquired that indicates the position of the vehicle during the movement. In a last determination task, the vehicle-trajectory information is determined using the inertial information and the location information, the vehicle-trajectory information representing the movement of the vehicle at the position.

Method for providing vehicle-trajectory information and method for locating a pothole

A method and a device for operating an automated vehicle, including: determining a position of the automated vehicle, detecting at least one surroundings feature in the surroundings of the automated vehicle, reading in a planning map depending on the position of the automated vehicle, the planning map being configured for determining a first driving function for operating the automated vehicle, determining a validity of the planning map depending on the position of the automated vehicle depending on the at least one surroundings feature, and operating the automated vehicle depending on the validity of the planning map.

Method and device for operating an automated vehicle based on a validity of a planning map

A method for receiving, processing, and transmitting data includes receiving first data values that include first surroundings data values representing surroundings of, and detected using a first surroundings sensor system of, a first vehicle and first pieces of information about the first surroundings sensor system; receiving second data values that include second surroundings data values representing surroundings of, and detected using a second surroundings sensor system of, a second vehicle and second pieces of information about the second surroundings sensor system; evaluating the quality of the first and the second surroundings sensor systems based on the first and second data values; and transmitting a signal for influencing the first and/or second surroundings sensor systems based on the evaluation.

Method and device for controlling vehicle sensor systems

In a method and a device for operating a first vehicle, a method includes receiving a signal from an external processing unit for influencing a first surroundings sensor system of the first vehicle, influencing the first surroundings sensor system dependent on the received signal, receiving surroundings data values detected by at least one second surroundings sensor system of a second vehicle and that at least partially represent surroundings of the first vehicle, and operating the first vehicle dependent on the influence of the first surroundings sensor system and the received surroundings data values.

Method and device for operating a first vehicle

A method for a vehicle localization system includes providing vehicle sensor data including information for an environment and/or an ego movement of the vehicle. A digital map of the environment of the vehicle is provided and a scenario based on the environment of the vehicle is ascertained based on the sensor data and/or based on the digital map. A degree of robustness for the localization system is derived from the ascertained scenario, a current degree of robustness of the localization system is derived, and a current degree of robustness of the localization system is adapted on that basis. Using an allocation module of the localization system, sensor data are allocated to the digital map based on the adapted degree of robustness. Using a position-determination module of the localization system, a position and/or an orientation of the vehicle is/are ascertained based on the sensor data allocated to the digital map.

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Stuttgart, Germany

Jan Rohde