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Development of the Optimized Autonomous Navigation Algorithm for the Unmanned Vehicle using Extended Kalman Filter  

Yun, Duk-Sun (Department of Mechartronics Engineering, Kyonggi Institute of Technology)
Yu, Hwan-Shin (Department of Automotive & Mechanical Engineering, Howon University)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.16, no.3, 2008 , pp. 7-14 More about this Journal
Abstract
Unmanned vehicle has a performance for finding the path and the way point by itself, so called orientation and direction. For the more precise navigation performance, Extended kalman filter, which is integrated with inertial navigation system and global positioning system is proposed in this paper. Extended kalman filter's performance is evaluated by the simulation and applied to the unmanned vehicle. The test result shows the effectiveness of Extended kalman filter for the navigation.
Keywords
Unmanned vehicle; Extended Kalman filter; GPS; INS; Navigation;
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Times Cited By KSCI : 1  (Citation Analysis)
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