Sirichai Pornsarayouth

Chulalongkorn University, Tokyo Institute of Technology

Papers

Total Citations

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About

Sirichai Pornsarayouth is a researcher specializing in sensor fusion, mobile robotics, and state estimation, with a particular focus on Kalman filtering techniques for real-world tracking challenges. His major contributions lie in addressing the practical limitations of multisensor systems, such as measurement delays and wheel slippage in omni-directional mobile robots. In his most cited work, "Sensor fusion of delay and non-delay signal using Kalman Filter with moving covariance" (2009, 13 citations), he developed a method to compensate for robot deflection by integrating acceleration, angular velocity, and computer vision data, effectively mitigating errors from wheel slippage. He further advanced the field with "Ensemble Kalman filter for multisensor fusion with multistep delayed measurements" (2011, 7 citations), which tackled the common issue of out-of-sequence measurements in target tracking for mobile robots and unmanned vehicles. His subsequent work, "An Improvement of Ensemble Kalman Filter for OOSM Tracking" (2011, 4 citations), refined these techniques for even greater accuracy. Pornsarayouth’s research is notable for its practical focus on real-time sensor fusion, making his contributions valuable for engineers and researchers developing robust autonomous systems.