Eli Liang

University of Maryland, College Park

Papers

2

Total Citations

233

H-Index

2

About

Eli Liang is a pioneering researcher in the field of autonomous vehicle navigation and computer vision, whose foundational work in the late 1980s helped lay the groundwork for what would become one of the most transformative technologies of the modern era. Liang's most significant contribution, the development of a modular visual navigation system for autonomous land vehicles, demonstrated a sophisticated integration of image processing, three-dimensional shape recovery, and geometric reasoning within a unified architectural framework. Published in 1987, this landmark work has garnered over 214 citations, reflecting its enduring influence on subsequent generations of robotics and computer vision researchers. The system's elegance lay in its modularity, combining perception, planning, navigation, and piloting functions into a cohesive whole — a design philosophy that anticipated many contemporary approaches to autonomous systems. An earlier 1986 iteration of this work further established Liang's role as an early innovator in rule-based reasoning applied to autonomous navigation. For students and researchers exploring the historical foundations of self-driving technology and robotic vision systems, Liang's contributions represent essential reading from a formative period in the discipline.

Research Focus

Key Achievements

2
H-Index
2
Papers
233
Total Citations
117
Avg Citations/Paper
🏆 Most Cited Paper
A visual navigation system for autonomous land vehicles
214 citations · 1987
📈 Most Prolific Year: 1987 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Maryland, College Park

Top Papers

  1. 1
  2. 2
    A visual navigation system
    19 citations · 1986

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago