Artificial neural-networks have been widely applied in various aspects of particle-tracking velocimetry. This paper presents an overview of the different applications and gives an insight into how this technology can be applied to fuel-flow monitoring. The paper presents a method of flow-field estimation based on particle-tracking velocimetry, without the need to solve the correspondence problem. We also present a method of defeating the obscuration problem found in many optical velocimetry schemes.
|Publication status||Published - 2008|
|Event||Institution of Engineering and Technology Seminar on Target Tracking and Data Fusion : Algorithms and Applications - Birmingham|
Duration: 1 Jan 2008 → …
|Conference||Institution of Engineering and Technology Seminar on Target Tracking and Data Fusion : Algorithms and Applications|
|Period||1/01/08 → …|