, Fmr Director, Intelligent Veh. Lab, Mechanical Engineering
High-accuracy (2-8 cm) DGPS and high-accuracy (5-20 cm) geospatial databases are the primary components of the IV Lab's driver-assistive systems. In addition to vehicle-based systems, the IV Lab geospatial database has found utility in other applications. For instance, the database has recently been used for the Intersection Decision Support (IDS) project, where radar sensors are used to determine the state of an intersection as a first step in warning drivers when it is unsafe to enter an unsignalized intersection. The geospatial database is used in this application to improve the ability of the radar system to determine whether a target represents a legitimate threat at the intersection.
The IV Lab geospatial database was designed and optimized for vehicle applications and provides real-time access to extremely accurate, dense geospatial data. Because of this optimization, its functionality in other applications is somewhat limited. As new applications arise, a more global approach to the design of the existing geospatial database is required. This research project pursued a redesign of the geospatial database and database manager and the development of a new front end to serve a wide application base.
- Project number: 2005047
- Start date: 12/2004
- Project status: Completed
- Research area: Transportation Safety and Traffic Flow
Data and modeling, Planning