Chiwan Song is a research engineer at Hyundai MOBIS with 11 years of experience specializing in perception for automotive sensing, currently focused on front camera space recognition after earlier work on LiDAR recognition logic. He combines an academic background from KAIST and a high-achieving Computer Engineering degree from Chung-Ang University with hands-on systems development for embedded perception stacks. His practical skills span computer vision and machine learning—demonstrated by an open-source Euro Truck Simulator 2 autonomous driving project where he integrated OpenCV, TensorFlow and inverse perspective mapping to improve scene interpretation. Chiwan is comfortable refactoring and adapting complex modules across full-stack and perception pipelines, translating research ideas into production-ready logic. Colleagues describe him as methodical and curious, with a knack for bridging simulation experiments and real-world automotive requirements.
11 years of coding experience
학사, Computer Engineering, 4.08/4.50, 학사, Computer Engineering, 4.08/4.50 at 중앙대학교
Euro Truck Simulator 2 autonomous driving solution
Role in this project:
Full-stack Developer
Contributions:84 commits, 15 PRs, 81 pushes in 8 months
Contributions summary:Chiwan primarily worked on implementing an autonomous driving solution for Euro Truck Simulator 2. Their contributions included initial setup and integration of OpenCV and TensorFlow for image processing and line detection, which indicates a focus on the computer vision aspects. The code changes involve refactoring existing components, along with moving and adapting modules of the program, as well as integrating an IPM (Inverse Perspective Mapping) algorithm to better interpret the game's visual output.
Contributions:103 pushes, 1 branch in 1 year 11 months
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