Papers
1
Total Citations
3
H-Index
1
About
Hyoseo Choi is a rising researcher in autonomous driving systems and robotics, with a focus on developing scalable, real-world solutions for self-driving technology. Their key research areas include ROS-based autonomous platforms, embedded systems for perception and localization, and robust dataset acquisition under diverse environmental conditions. Choi’s most notable contribution is the development of a ROS-based small unmanned platform designed to acquire autonomous driving datasets across various places and weather conditions—a critical step toward improving the reliability of self-driving algorithms in unpredictable settings. This work, published in 2022, has already garnered early citations, reflecting its relevance to the growing demand for versatile testing platforms in autonomous vehicle research. By addressing the limitations of existing frameworks like Apollo and AutoWare, Choi’s platform enables more comprehensive data collection for perception, mapping, and path planning modules. Their research bridges the gap between simulation and real-world deployment, offering practical tools for advancing autonomous navigation. With a clear trajectory toward enhancing system robustness, Hyoseo Choi is contributing foundational work that supports the next generation of resilient, all-weather autonomous systems.
Research Focus
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Top Papers
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