Seung Min Song

Papers

1

Total Citations

17

H-Index

1

About

Seung Min Song is a leading innovator in CMOS image sensor (CIS) design, with a primary focus on Time-of-Flight (ToF) depth-sensing technology. His most cited work introduces a groundbreaking dynamic pseudo 4-tap CMOS ToF image sensor that achieves high-resolution depth imaging while solving two critical challenges in the field: motion artifacts and background light interference. The sensor maintains accurate performance even under extreme ambient light conditions exceeding 120 klux, demonstrating robust background light cancellation. This contribution is particularly significant for applications in autonomous systems, augmented reality, and advanced photography, where reliable depth perception in bright outdoor environments is essential. With 17 citations on this flagship paper, Song's research has established him as a key contributor to the advancement of indirect time-of-flight (iToF) sensors, pushing the boundaries of spatial resolution and dynamic range. His work represents a meaningful step toward practical, high-performance depth-sensing solutions that can operate reliably in real-world lighting conditions.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
5.4 A Dynamic Pseudo 4-Tap CMOS Time-of-Flight Image Sensor with Motion Artifact Suppression and Background Light Cancelling Over 120klux
17 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 11

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago