Tran Hiep Dinh

University of Technology Sydney, VNU University of Science

Papers

Total Citations

289

H-Index

About

Tran Hiep Dinh is a researcher whose work sits at the intersection of robotics, computer vision, and autonomous systems. His most influential contribution, the highly cited "Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection" (2017), has garnered 274 citations, establishing a foundational method for optimizing drone flight paths to perform efficient, automated visual inspections of infrastructure. This work demonstrates a significant impact on the practical deployment of unmanned aerial vehicles. Dinh’s research also extends to structural health monitoring, as seen in his work on a "Computer vision-based method for concrete crack detection" (2016), which proposes an automated technique for identifying structural defects from images. Earlier in his career, he addressed core robotics challenges, such as in "Localization of a unicycle-like mobile robot using LRF and omni-directional camera" (2012), where he employed an Extended Kalman Filter to fuse data from a laser range finder and an omni-directional camera for precise robot positioning. Collectively, Dinh’s work bridges the gap between algorithmic optimization, sensor fusion, and real-world inspection tasks, making him a notable figure in the development of intelligent, vision-guided autonomous systems for civil and industrial applications.