Mingi Jeong

Dartmouth College

Papers

2

Total Citations

7

H-Index

2

About

Mingi Jeong is a leading researcher in autonomous maritime systems, with a primary focus on perception and simulation for Autonomous Surface Vehicles (ASVs). His major contributions lie in addressing the critical lack of open-source, high-fidelity resources for aquatic robotics. Jeong pioneered the field with the creation of **SeePerSea** (2025, 4 citations), the first publicly accessible, labeled multi-modal perception dataset for in-water obstacle detection, collected over four years to enhance ASV situational awareness. This foundational work is complemented by **CataBotSim** (2024, 3 citations), a realistic, user-friendly Unity3D-based aquatic simulator he developed to fill the void of testing environments for ASV navigation and perception pipelines. Despite their recent publication, these works are already recognized as essential tools for the community, bridging a critical gap between land-based autonomous driving research and the unique challenges of aquatic environments. Jeong’s efforts are notable for their direct impact on enabling reproducible, safe, and efficient development of autonomous surface vehicles, making him a key figure in advancing maritime autonomy.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
SeePerSea: Multimodal Perception Dataset of In-Water Objects for Autonomous Surface Vehicles
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Dartmouth College

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago