A method and a device for planning and/or controlling and/or simulating the operation of a construction machine, in particular in the form of a crane, using a structure data model which contains digital information on a structure to be erected and/or to be worked on. A construction machine which can be linked to such a structure data model and/or can be controlled using such a structure data model. A construction machine data model which contains digital information on different construction machine models is linked to the structure data model or the BIM, characteristics of the available construction machines are already taken into consideration during the planning process, a simulator for training construction machine tasks is configured using the structure data model, and the controller of the construction machine is adapted to the structure data model with respect to specific control functions.

Disclosed is an excavator safety simulator and methods for preventing damage to existing underground equipment prior to excavation by using a Virtual Reality (VR) environment with underground facilities and markings, and real world examples of dynamic climate scenarios and challenges that an excavator will likely encounter.

Disclosed is an excavator safety simulator and methods for preventing damage to existing underground equipment prior to excavation by using a Virtual Reality (VR) environment with underground facilities and markings, and real world examples of dynamic climate scenarios and challenges that an excavator will likely encounter.

A method is provided for providing a tutorial message to a driver in a vehicle using an in-vehicle tutorial system including a multimodal user interface. The method includes assigning an area of improvement, including at least one tutorial task, to the tutorial system, identifying a driving context for which a tutorial task is to be performed, based on the tutorial task and the driving context, selecting a tutorial message encouraging a desired driving behavior, and providing the selected tutorial message to the driver using the multimodal user interface.

A method is provided for providing a tutorial message to a driver in a vehicle using an in-vehicle tutorial system including a multimodal user interface. The method includes assigning an area of improvement, including at least one tutorial task, to the tutorial system, identifying a driving context for which a tutorial task is to be performed, based on the tutorial task and the driving context, selecting a tutorial message encouraging a desired driving behavior, and providing the selected tutorial message to the driver using the multimodal user interface.

A method for creating a three-dimensional simulation environment, including: providing a basic library containing three-dimensional virtual objects; detecting the input of a geographic region; obtaining characteristic information, which characterizes the features of different areas; deriving additional information for the various areas of the geographic region on the basis of the characteristic information, land use information being derived as additional information if the characteristic information does not comprise any land use information; ascertaining the objects from the basic library which occur in the geographic region, and storing these objects in a regional library; dividing the geographic region into sectors of the same land use on the basis of the land use information; ascertaining, for each sector, the objects from the regional library which match the land use of this sector; and filling each sector with a selection of objects, based on its land use.

A computer-implemented method for generating test data for testing a control system of a motor vehicle which evaluates a sensor data stream. Simulated driving is performed through at least part of a virtual simulation environment with a virtual vehicle carrying a virtual sensor by specifying a translational movement of the virtual vehicle in the virtual simulation environment, wherein the virtual sensor has a visual field in which it detects the virtual simulation environment. Synthetic sensor data is generated with the virtual sensor by detecting the virtual simulation environment driven through by the virtual vehicle in the visual field of the virtual sensor. The synthetic sensor data is provided as test data for testing a control system of a motor vehicle which evaluates a sensor data stream.

The present disclosure is directed, in part, to improving existing technologies by detecting engagement of the one or more components of the logistics vehicle, which may be indicative of receiving an indication that the user is performing at least a first logistics operation. At least partially in response to the detecting, various embodiments cause display, at one or more monitors, of data where the data includes one or more instructions for the user to perform at least a second logistics operation and/or the data includes a video feed of real world scenes.

A system and method for generating simulated vehicles with configured behaviors for analyzing autonomous vehicle motion planners are disclosed. A particular embodiment includes: receiving perception data from a plurality of perception data sensors; obtaining configuration instructions and data including pre-defined parameters and executables defining a specific driving behavior for each of a plurality of simulated dynamic vehicles; generating a target position and target speed for each of the plurality of simulated dynamic vehicles, the generated target positions and target speeds being based on the perception data and the configuration instructions and data; and generating a plurality of trajectories and acceleration profiles to transition each of the plurality of simulated dynamic vehicles from a current position and speed to the corresponding target position and target speed.

A system and method for generating simulated vehicles with configured behaviors for analyzing autonomous vehicle motion planners are disclosed. A particular embodiment includes: receiving perception data from a plurality of perception data sensors; obtaining configuration instructions and data including pre-defined parameters and executables defining a specific driving behavior for each of a plurality of simulated dynamic vehicles; generating a target position and target speed for each of the plurality of simulated dynamic vehicles, the generated target positions and target speeds being based on the perception data and the configuration instructions and data; and generating a plurality of trajectories and acceleration profiles to transition each of the plurality of simulated dynamic vehicles from a current position and speed to the corresponding target position and target speed.