Processing the uncertainty: Quality-aware data stream processing for dynamic context models

Current autonomic vehicles in outdoor scenarios perform mobility operations with walking speed to ensure safety. For a faster mobility of autonomous vehicles, concrete knowledge of the environment is needed. This will be achieved through a dynamic context model based on sensor data with uncertainties from the environment. These uncertainties arise through existential uncertainty, consistency, and co/variance of and between the sensor data. To allow a flexible processing and to allow different approaches for object detection, object classification, and object tracking, data stream management technology is used. Therefore, a new algebra and operators based on the relational algebra are defined to preserve and process the uncertainties about the sensor data.