Papers
1
Total Citations
3
H-Index
1
About
Dr. Ji-Il Park is a robotics and autonomous systems researcher whose work centers on the practical deployment of self-driving technologies in real-world environments. His primary research areas include autonomous driving datasets, embedded systems for unmanned platforms, and robust perception under varying environmental conditions. Dr. Park’s most significant contribution is the development of a ROS-based small unmanned platform designed to acquire high-quality autonomous driving datasets across diverse locations and weather conditions—a critical step for training and validating self-driving algorithms that must operate reliably beyond controlled settings. This work, published in 2022, has already garnered 3 citations, reflecting its relevance to the growing demand for scalable data collection tools in autonomous vehicle research. By bridging the gap between simulation and real-world deployment, Dr. Park’s platform supports the broader ecosystem of open-source autonomous driving software like Apollo and AutoWare. His research is particularly valuable for researchers seeking to test perception and localization modules under challenging, non-ideal conditions, making him a key contributor to the practical advancement of field-deployable autonomous systems.
Research Focus
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Top Papers
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