Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for a Trust Score Engine are directed to providing a user interface for identifying datasets collected into a dataset inventory wherein the dataset inventory may be displayed within the user interface. The Trust Score Engine determines social curation activities by respective user accounts that have been applied the datasets in the dataset inventory and validates the datasets in the dataset inventory according to pre-defined attributes applied to any of the respective datasets. The Trust Score Engine generates a first trust score for a first dataset according to any determined social curation activities and any pre-defined attributes that correspond to the first dataset. The Trust Score Engine receives a selection of a trust score visualization functionality, via the user interface, with respect to the first dataset.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for a Trust Score Engine are directed to providing a user interface for identifying datasets collected into a dataset inventory wherein the dataset inventory may be displayed within the user interface. The Trust Score Engine determines social curation activities by respective user accounts that have been applied the datasets in the dataset inventory and validates the datasets in the dataset inventory according to pre-defined attributes applied to any of the respective datasets. The Trust Score Engine generates a first trust score for a first dataset according to any determined social curation activities and any pre-defined attributes that correspond to the first dataset. The Trust Score Engine receives a selection of a trust score visualization functionality, via the user interface, with respect to the first dataset.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for a Trust Score Engine are directed to providing a user interface for identifying datasets collected into a dataset inventory wherein the dataset inventory may be displayed within the user interface. The Trust Score Engine determines social curation activities by respective user accounts that have been applied the datasets in the dataset inventory and validates the datasets in the dataset inventory according to pre-defined attributes applied to any of the respective datasets. The Trust Score Engine generates a first trust score for a first dataset according to any determined social curation activities and any pre-defined attributes that correspond to the first dataset. The Trust Score Engine receives a selection of a trust score visualization functionality, via the user interface, with respect to the first dataset.

Abstract: Disclosed are methods and systems for environment detection in which a first vehicle detects its vehicle environment with at least one sensor, wherein the first vehicle transmits sensor data of the sensor pertaining to its vehicle environment to an off-board server device; at least one second vehicle with at least one sensor transmits sensor data of the sensor pertaining to its vehicle environment to the off-board server device; the off-board server device merges the transmitted sensor data of the vehicles and generates an environmental model of the vehicle environment of the first vehicle on the basis thereof; the environmental model that is generated is subsequently transmitted by the off-board server device to the first vehicle.

Abstract: The present application provides a method for notifying at least one receiver vehicle about a wrong-way driver vehicle, wherein a stationary server device receives from the wrong-way driver vehicle wrong-way driver data describing its current position. The invention provides that the server device provides a digital road map, which is divided into sub-areas of pre-determined size, and selects, in the road map based on the wrong-way driver data, that sub-area in which the wrong-way driver vehicle is located, and updates the map data of the selected sub-area by means of the wrong-way driver data and transmits the updated map data to the at least one receiver vehicle, and the at least one receiver vehicle enters the received map data into an on-board digital road map and checks on the on-board road map whether the wrong-way driver vehicle for the receiver vehicle fulfills a pre-determined relevance criterion, wherein if the relevance criterion is met, a protective measure is performed in the receiver vehicle.

Abstract: Disclosed are methods and systems for environment detection in which a first vehicle detects its vehicle environment with at least one sensor, wherein the first vehicle transmits sensor data of the sensor pertaining to its vehicle environment to an off-board server device; at least one second vehicle with at least one sensor transmits sensor data of the sensor pertaining to its vehicle environment to the off-board server device; the off-board server device merges the transmitted sensor data of the vehicles and generates an environmental model of the vehicle environment of the first vehicle on the basis thereof; the environmental model that is generated is subsequently transmitted by the off-board server device to the first vehicle.