Abstract: A method and a system for controlling at least one of a traffic infrastructure device, an actuator of a traffic participant based on enhanced traffic data is provided. The method comprises steps of monitoring, by a trigger processor, an area; generating, by the trigger processor, trigger data in case a trigger event is determined in the monitored area and providing the generated trigger data indicating an area-of-interest to an image data source; obtaining image data on the area-of-interest based on the transmitted trigger data and transmitting the obtained image data to a traffic evaluation processor; evaluating, by the traffic evaluation processor, the obtained image data to generate enhanced traffic data on the area-of-interest; and outputting, by the traffic evaluation processor, the generated enhanced traffic data in a control signal, wherein the control signal is configured to control the traffic infrastructure device and/or the actuator of the traffic participant.

Abstract: The present invention relates to a system for evaluating a mission of a mobile entity. The system comprises a means for obtaining information on a planned trajectory, the mobile entity, mission requirements, environment and public body rules, a means for transforming the information into a symbolic, probabilistic representation to generate a probabilistic logic program, wherein facts are extracted from the information and systematically designated with names within the probabilistic logic program, and a means for generating an answer to the a probabilistic logic query based on the probabilistic logic program.

Abstract: The present invention provides an advanced driver assistance system for assisting a driver of a vehicle. The system comprises a sensor unit, a processing unit and a display unit. The sensor unit is configured to sense an environment of the vehicle. The processing unit is configured to determine, based on a sensing output, at least one feature of the environment. The processing unit is configured to determine, for a current time, a risk zone of the feature, by estimating, based on at least one parameter of the vehicle at the current time, at each virtual position of two or more virtual positions of the vehicle a respective risk with regard to the feature; and by forming the risk zone based on the two or more risks. The display unit is configured to display the environment of the vehicle with the feature and the risk zone of the feature.

Abstract: A method and a system for controlling at least one of a traffic infrastructure device, an actuator of a traffic participant based on enhanced traffic data is provided. The method comprises steps of monitoring, by a trigger processor, an area; generating, by the trigger processor, trigger data in case a trigger event is determined in the monitored area and providing the generated trigger data indicating an area-of-interest to an image data source; obtaining image data on the area-of-interest based on the transmitted trigger data and transmitting the obtained image data to a traffic evaluation processor; evaluating, by the traffic evaluation processor, the obtained image data to generate enhanced traffic data on the area-of-interest; and outputting, by the traffic evaluation processor, the generated enhanced traffic data in a control signal, wherein the control signal is configured to control the traffic infrastructure device and/or the actuator of the traffic participant.

Abstract: The invention relates to a method for analyzing localization errors, wherein the method includes the steps of obtaining relative positions and absolute positions of an object moving within a mapped environment, which are generated sequentially over time, calculating differences between the relative positions and absolute positions to determine sequential localization errors, and decomposing the localization errors into a systematic error that is dependent on the orientation of the object and into a systematic error that is independent on the orientation of the object by analyzing the intrinsic dynamics of the localization errors.

Abstract: The invention relates to a method for analyzing localization errors, wherein the method includes the steps of obtaining relative positions and absolute positions of an object moving within a mapped environment, which are generated sequentially over time, calculating differences between the relative positions and absolute positions to determine sequential localization errors, and decomposing the localization errors into a systematic error that is dependent on the orientation of the object and into a systematic error that is independent on the orientation of the object by analyzing the intrinsic dynamics of the localization errors.