Carl Ahlberg

Mälardalen University, Dalarna University

Papers

Total Citations

H-Index

About

Carl Ahlberg is a researcher specializing in computer vision, reconfigurable hardware systems, and industrial automation. His work centers on developing practical, real-time stereovision platforms that bridge the gap between theoretical algorithms and deployable hardware. Ahlberg’s major contribution is the **GIMME (General Image Multiview Manipulation Engine)** platform, a flexible, FPGA-based two-camera vision system designed for low-to-medium-level image processing. This reconfigurable architecture allows for application-specific optimization, making it ideal for environments where adaptability and speed are critical. His research has direct implications for autonomous navigation in industrial settings, including automated guided vehicles (AGVs) used in factories and hospitals. While his most-cited paper, “GIMME - A General Image Multiview Manipulation Engine” (15 citations), demonstrates the foundational impact of his hardware-software co-design approach, his work on stereovision for industry automation (3 citations) highlights its practical deployment in systems by Danaher Motion, Egemin Automation, and Swisslog. Ahlberg’s contributions exemplify how embedded vision systems can transform industrial logistics and service robotics, offering a blueprint for efficient, real-world computer vision.