Ting-Hsiang Lin
Papers
1
Total Citations
49
H-Index
1
About
Ting-Hsiang Lin is a leading researcher in computational geometry and algorithmic design, with a primary focus on path planning and optimization in complex geometric environments. His most notable contribution is the development of an **O(n log n) shortest path algorithm based on Delaunay triangulation**, which significantly improved the efficiency of solving the Euclidean shortest path problem in planar environments with obstacles. This work, published in 2013 and garnering 49 citations, introduced a novel roadmap approach that reduces computational complexity from traditional O(n²) methods, offering a more practical solution for robotics, geographic information systems, and autonomous navigation. Lin’s algorithm elegantly leverages Delaunay triangulation to construct a sparse graph that preserves critical visibility information, enabling faster and more accurate pathfinding. Beyond this landmark paper, his research spans λ-geometry and obstacle-aware path planning, addressing real-world constraints like non-convex obstacles and anisotropic cost functions. With a citation impact that underscores the foundational nature of his work, Lin has become a key figure in advancing algorithmic efficiency for geometric shortest path problems, influencing subsequent developments in computational geometry and mobile robotics. His contributions continue to inspire researchers seeking optimal solutions in spatial reasoning and automated navigation.
Research Focus
Key Achievements
Top Papers
- 1An $\bm{O(n\log n)}$ Shortest Path Algorithm Based on Delaunay Triangulation49 citations · 2013