Carl Ahlberg received his M.Sc. in Information Technologies from Uppsala University, Sweden, in 2003. In 2009 he returned to academia and joined Mälardalen University, Sweden, from where he received his Ph.D. in 2020. His research interests include robotics, machine vision and stereo vision. Before starting his PhD studies Carl has worked at Senseboard AB (R&D), IAR Systems AB (Product related development engineer) and Hectronic AB (Support Manager).
FP-SLIC: A Fully-Pipelined FPGA Implementation of Superpixel Image Segmentation (Jan 2023) Adnan Ghaderi, Carl Ahlberg, Fredrik Ekstrand, Mikael Ekström 25th Euromicro Conference on Digital System Design (DSD) (DSD 2022)
The genetic algorithm census transform: evaluation of census windows of different size and level of sparseness through hardware in-the-loop training (Jul 2020) Carl Ahlberg, Miguel Leon Ortiz, Fredrik Ekstrand, Mikael Ekström Open Access Journal of Real-Time Image Processing (J RT Image Proc)
Embedded high-resolution stereo-vision of high frame-rate and low latency through FPGA-acceleration (Jan 2020) Carl Ahlberg
Unbounded Sparse Census Transform using Genetic Algorithm (Jan 2019) Carl Ahlberg, Miguel Leon Ortiz, Fredrik Ekstrand, Mikael Ekström WACV 2019 - IEEE Winter Conference on Applications of Computer Vision (WACV'19)
Embedded Acceleration of Image Classification Applications for Stereo Vision Systems (Mar 2018) Mohammad Loni, Carl Ahlberg, Masoud Daneshtalab, Mikael Ekström, Mikael Sjödin Design, Automation & Test in Europe Conference & Exhibition (DATE'18)
GIMME2 - an embedded system for stereo vision and processing of megapixel images with FPGA-acceleration (Dec 2015) Carl Ahlberg, Fredrik Ekstrand, Mikael Ekström, Giacomo Spampinato , Lars Asplund 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig'15)