Carlos Parr
Papers
1
Total Citations
4
H-Index
1
About
Carlos Parr is a researcher whose early work focused on computer vision and autonomous navigation, particularly in challenging, unstructured environments. His most-cited paper, "Extraction of Roads From Out Door Images" (2007, 4 citations), addresses a critical gap in road detection technology. While most systems were designed for well-structured highways, Parr’s research targeted the application of humanitarian demining, where roads are often degraded or informal. By developing methods to extract natural, unpaved paths from outdoor imagery, he contributed to safer navigation for mine-clearing operations. Though his citation count is modest, his work highlights a meaningful intersection of robotics, image processing, and humanitarian engineering. Parr’s research underscores the importance of adapting autonomous systems to real-world, non-ideal conditions—a valuable lesson for students and researchers working on field robotics or socially impactful AI.
Research Focus
Key Achievements
Top Papers
- 1Extraction of Roads From Out Door Images4 citations · 2007