Chanoh Park

Commonwealth Scientific and Industrial Research Organisation

Papers

Total Citations

167

H-Index

About

Chanoh Park is a leading researcher in mobile robotics, with a primary focus on place recognition, sensor fusion, and multimodal perception systems. His most impactful contribution is the development of a novel local descriptor for robust place recognition using LiDAR intensity, published in 2019 and cited over 160 times. This work addresses the fundamental challenge of recognizing locations in unstructured environments under varying viewpoint and illumination conditions, moving beyond traditional geometry-based methods to leverage intensity data for greater reliability. Park’s research has significantly advanced the field of long-term autonomous navigation, enabling robots to operate more effectively in complex, real-world settings. Additionally, he has contributed to the critical problem of spatiotemporal camera-LiDAR calibration, proposing a targetless and structureless approach that simplifies the integration of multimodal sensing systems. This work, published in 2020, enhances the robustness and accuracy of sensor fusion, a key requirement for modern autonomous systems. Park’s achievements are widely recognized in the robotics community, and his research continues to influence the development of more resilient and perceptive robotic platforms.