Chieh Chou
Papers
3
Total Citations
67
H-Index
3
About
Chieh Chou is a leading researcher in the fields of robotic perception, subsurface sensing, and autonomous navigation. His most significant contributions lie in developing innovative methods for subsurface pipeline mapping by fusing ground-penetrating radar (GPR) with camera imagery—a breakthrough that enables the automatic detection, mapping, and 3D reconstruction of buried pipelines without excavation. His seminal 2019 paper, with 53 citations, models the GPR sensing process and proves hyperbola responses for non-perpendicular scanning, allowing simultaneous detection of multiple pipelines. This work has become a foundational reference for infrastructure inspection and construction robotics. Chou further advanced proprioceptive localization for vehicle-to-vehicle collaborative systems, demonstrating robust egocentric navigation without reliance on external landmarks. His research has been recognized for its practical impact on underground utility mapping, disaster response, and autonomous vehicle localization. With a growing citation record and a clear trajectory toward real-world deployment, Chou is establishing himself as a key innovator at the intersection of robotics, sensor fusion, and civil infrastructure monitoring.
Research Focus
Key Achievements
Top Papers
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- 2
- 3Vehicle-to-Vehicle Collaborative Graph-Based Proprioceptive Localization6 citations · 2021