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Communication Dans Un Congrès Année : 2007

Combined Visual and Inertial Navigation for an Unmanned Aerial Vehicle

Résumé

We describe an UAV navigation system which combines stereo visual odometry with inertial measurements from an IMU. Our approach fuses the motion estimates from both sensors in an extended Kalman filter to determine vehicle position and attitude. We present results using data from a robotic helicopter, in which the visual and inertial system produced a final position estimate within 1% of the measured GPS position, over a flight distance of more than 400 meters. Our results show that the combination of visual and inertial sensing reduced overall positioning error by nearly an order of magnitude compared to visual odometry alone.
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Dates et versions

inria-00199634 , version 1 (19-12-2007)

Identifiants

  • HAL Id : inria-00199634 , version 1

Citer

Jonathan Kelly, Srikanth Saripalli, Gaurav S. Sukhatme. Combined Visual and Inertial Navigation for an Unmanned Aerial Vehicle. 6th International Conference on Field and Service Robotics - FSR 2007, Jul 2007, Chamonix, France. ⟨inria-00199634⟩

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