Information Framework for Transportation Applications, 10-R8175Printer Friendly Version
Inclusive Dates: 07/01/10 06/30/11
Background - In transportation, information can be derived from a number of sources. Consider the following examples:
While the Global Positioning System (GPS) is important to locating a vehicle, there is a major push in the military world to have intelligent vehicles (whether manned or not) operate in "GPS-denied" environments; that is, use their surroundings to determine their location and not rely on specific GPS data. This project is developing algorithms and techniques to create a world view model to combine a number of data sources, both static and dynamic, to create a world model. Because of the expected huge amounts of data, an important component of the research is to have an algorithm that extracts regions of interest that are limited to what data is required by the application.
Approach - Sources of data (i.e., the proposed research is not creating this data) that will be placed into the model will include:
While the internal structure of the model will be based on a coordinate system, it is critical that the data can be extracted either in spatial (feature) or geolocation form.
Accomplishments - The program is still in the initial stages. To date, base algorithm development has been initiated.