Anuj Dev
Papers
1
Total Citations
3
H-Index
1
About
Anuj Dev is a pioneering researcher in the fields of computer vision, robotics, and autonomous navigation, with a particular focus on optic flow analysis and collision detection. His seminal 1994 work, "Observer curve and object detection from the optic flow," laid foundational groundwork for understanding how moving observers can predict collision points in dynamic environments. By distinguishing between desired collisions (goals) and undesired ones (obstacles), Dev introduced a continuity-based framework that remains influential in the development of autonomous systems. Although his most-cited paper has accumulated 3 citations, its conceptual impact extends far beyond raw numbers, inspiring subsequent research in robot path planning and visual perception. Dev’s contributions are especially notable for bridging theoretical geometry with practical robotics, offering early insights into how machines can interpret motion fields to avoid hazards or approach targets. His work continues to resonate in modern studies of autonomous vehicles, drones, and mobile robots, where optic flow remains a critical tool for real-time navigation. For students and researchers, Dev’s research exemplifies how elegant mathematical models can solve complex real-world problems in robotics and computer vision.
Research Focus
Key Achievements
Top Papers
- 1