Ciprian Pocol

Papers

Total Citations

H-Index

About

Ciprian Pocol is a researcher specializing in mobile robotics and computer vision, with a particular focus on obstacle detection and 3D scene reconstruction. His most cited work, "Obstacle Detection for Mobile Robots, Using Dense Stereo Reconstruction" (2007, 9 citations), addresses a critical challenge in autonomous navigation: the trade-off between computational efficiency and perceptual accuracy. Pocol’s major contribution lies in advancing dense stereo reconstruction—a technique that computes depth for every pixel in an image, rather than relying solely on sparse edge-based methods. By demonstrating that real-time dense reconstruction is feasible, he showed that robots can detect obstacles even in low-texture environments, where traditional sparse methods often fail. This work reduces the rate of false detections and enhances the reliability of mobile robot perception. While his citation count is modest, his research has practical implications for the development of safer, more perceptive autonomous systems. Pocol’s focus on bridging computational constraints with robust 3D sensing underscores his commitment to making real-world robotics more adaptive and trustworthy.