Papers

2

Total Citations

31

H-Index

2

About

Keattisak Sripimanwat is a researcher specializing in indoor localization technologies, with a particular focus on Visible Light Communication (VLC) systems and mobile robotics. His work addresses one of the fundamental challenges in autonomous robotics: accurate indoor positioning, where traditional GPS-based methods fall short. Sripimanwat's most notable contributions center on developing sophisticated localization frameworks that combine Angle of Arrival (AOA) and Received Signal Strength (RSS) methodologies, leveraging Light-Emitting Diode (LED) positioning systems to determine the precise location of mobile robots in indoor environments. His 2014 paper on improving VLC localization using the Extended Kalman Filter, which has garnered 19 citations, demonstrates his innovative approach to enhancing positioning accuracy through advanced signal processing techniques. Building on this foundation, his 2015 work on simulation and design of novel LED-based localization systems, with 12 citations, further cemented his reputation in this emerging field. His research sits at the intersection of optical wireless communications and robotics, offering practical solutions for smart building applications and autonomous navigation systems. For students and researchers exploring indoor positioning technologies, Sripimanwat's body of work represents a valuable foundation in VLC-based localization methodologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
31
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Improvement of the VLC localization method using the Extended Kalman Filter
19 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National Electronics and Computer Technology Center, National Science and Technology Development Agency

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago