Speaker
Description
Global navigation satellite system-based navigation is sensitive to disturbances and jamming, hence the capability to provide reliable position accuracy without GNSS is a key element to develop the navigation systems. Recently, camera sensors have been widely used in navigation system due to the development and application of deep learning techniques. This paper proposes a deep learning based visual odometry method for aerial navigation. The state-of-the-art deep learning based optical flow estimation is used to obtain the odometry by deriving the transformation of the camera. The performance of the proposed method is verified with an open dataset.
References
[1] JEONGMIN, Kang; SJANIC, Zoran; HENDEBY, Gustaf. State-of-the-art Report of Research about Multi Sensor Image-based Navigation. 2023.
| Keywords | visual odometry, sensor fusion, optical flow, position estimation |
|---|
