JOURNAL OF SOFTWARE (JSW)
ISSN : 1796-217X
Volume : 3    Issue : 3    Date : March 2008

From Sensors to Assisted Driving – Bridging the Gap
Marcus Tönnis, Jan-Gregor Fischer, and Gudrun Klinker
Page(s): 71-82
Full Text:
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Abstract
Increasing traffic density enforces development of Advanced Driver Assistance Systems to cope with
safety aspects. Such systems require serious amount of sensor data to deduce spatial
relationships. Not only car mounted sensors, but the combination with environmental tracking
systems can fulfill the demand for obstacle surveillance. Fusion of sensor data, federation to
environmental models and reasoning about that data allows for a broad spectrum of new in-car
systems. From collaborative and informing systems up to part or fully automated driving, various
assistance systems generate a demand for such spatial knowledge. With an integrated system,
dependable data can be delivered to any user-related assistance system, and as side effect,
reduce workload in already loaded in-car computer systems.
To face these data aggregation and analysis issues, we developed SCORE, a Spatial Context
Ontology Reasoning Environment. We illustrate our approach of a distributed ad-hoc infrastructure
that collects and disseminates tracking data of environmental objects and thus allows for
vehicleand ontology-based reasoning. In extend, we illustrate how such systems can gather data
and where such a system can help in spatially related driver assistance systems.

Index Terms
Advanced Driver Assistance Systems, Ontology-based Knowledge Acquisition, Spatial Context,
Augmented Reality, Time-Critical Systems