Abstract | ||
---|---|---|
The navigation of the robot vehicles in the GPS way points-defined corridors required the availability of a geographic database as well as a sophisticated sensor system to stay on track and avoid collisions or even to pass another vehicle. The latter sensing capability is practically identical to a state-of-the-art mobile mapping system's ability, except in the autonomous vehicle case the real-time processing is a necessity. This paper provides an analysis of the overall mapping effort, including the development of a geospatial database, path-planning, interactive route analysis and the real-time mapping effort through the eyes of the OSU DGC group that raced as TerraMax team in 2004 and Desert Buckeye in 2005 |
Year | DOI | Venue |
---|---|---|
2006 | 10.1109/ITSC.2006.1707449 | ITSC |
Keywords | Field | DocType |
global positioning system,collision avoidance,geographic information systems,mobile robots,navigation,vehicles,gps,osu darpa grand challenge vehicle,geographic database,geospatial database,interactive route analysis,mobile mapping system,path planning,real-time mapping,robot vehicle,sensor system,real time processing,real time | Motion planning,Computer vision,Geographic information system,Simulation,Sensor system,Global Positioning System,Artificial intelligence,Engineering,Robot,Mobile mapping,Spatial database,Mobile robot | Conference |
ISBN | Citations | PageRank |
1-4244-0094-5 | 2 | 0.55 |
References | Authors | |
1 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Charles K. Toth | 1 | 22 | 5.65 |
eva paska | 2 | 2 | 0.55 |
qi chen | 3 | 2 | 0.55 |
Yongjie Zhu | 4 | 12 | 1.83 |
Keith Redmill | 5 | 101 | 13.99 |
Ümit Özgüner | 6 | 1014 | 166.59 |