Darko Jurić is a research-focused computer vision engineer with 12 years of experience developing real-time, computationally efficient image processing solutions for embedded systems. As a Research Associate at the Faculty of Electrical Engineering and Computing in Zagreb, he leads work on night-time vehicle light detection and tracking within the VISTA traffic-safety project while pursuing a PhD in Computer Science. His background in image processing and machine learning is grounded by MSc and BSc degrees from FER and practical contributions to open-source computer vision tooling, including restructuring and improving demos for the accord-net-extensions project. Darko combines academic rigor with hands-on full-stack development, making him adept at turning experimental algorithms into deployable systems for constrained hardware.
12 years of coding experience
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at Faculty of Electrical Engineering and Computing, University of Zagreb
Advanced image processing and computer vision algorithms made as fluent extensions and built for portability
Role in this project:
Full-stack Developer
Contributions:6 releases, 323 commits, 2 PRs in 2 years
Contributions summary:Darko primarily focused on correcting the project's structure by modifying file paths, project references, and assembly information files. They also made changes to demo projects by updating project references and fixing issues within KLT demos. Additionally, the user incorporated functionality into a demo project with the inclusion of sample files. The user also addressed some code generation and sample issues.
Contributions:7 releases, 78 commits, 1 PR in 4 years 6 months
dotnetimagingimage-processingminimalisticportable
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