Seontake Oh
Papers
1
Total Citations
3
H-Index
1
About
Seontake Oh is a researcher focused on advancing the reliability and safety of autonomous mobility systems, with a particular emphasis on LiDAR sensor calibration and alignment. His key research areas include sensor fusion, automotive perception, and precision inspection technologies for low-resolution LiDAR systems. Oh’s most notable contribution is his work on an accurate alignment inspection system for low-resolution automotive and mobility LiDAR, published in 2020. This paper addresses a critical safety challenge: even a few degrees of misalignment in LiDAR sensors can cause significant errors in obstacle detection and mapping, potentially leading to hazardous outcomes. By proposing a robust method for estimating alignment errors after sensor attachment, Oh’s research helps ensure that autonomous vehicles and mobile robots maintain reliable perception capabilities. Though his work has garnered 3 citations to date, its practical implications for real-world deployment of autonomous systems are substantial. Oh’s contributions are particularly valuable for engineers and researchers developing cost-effective, low-resolution LiDAR solutions for mass-market mobility applications, where precise calibration is essential for safe operation.
Research Focus
Key Achievements
Top Papers
- 1