Kai‐Wei Chiang
Papers
2
Total Citations
13
H-Index
2
About
Kai-Wei Chiang is a leading researcher in the fields of indoor navigation, mobile mapping systems, and multi-sensor integration. His work addresses critical challenges in positioning accuracy and reliability, particularly in GPS-denied environments. A major contribution is the development of a space resection-aided pedestrian dead reckoning method for smartphone navigation, which significantly improves indoor localization without relying on external infrastructure. This work, published in 2017, has garnered 8 citations and demonstrates the potential of leveraging smartphone sensors for robust indoor mapping. Chiang also advanced indoor mobile mapping systems by integrating RGB-D sensors, achieving precise 3D data collection for urban and path management applications. His 2015 study on this topic, with 5 citations, highlights his role in pioneering cost-effective, sensor-fusion approaches for real-time mapping. Through his research, Chiang has established himself as a key innovator in bridging the gap between theoretical positioning algorithms and practical, deployable navigation solutions, making him a notable figure in geomatics and mobile sensing technologies.
Research Focus
Key Achievements
Top Papers
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