Tatum Ogata
Papers
1
Total Citations
12
H-Index
1
About
Tatum Ogata is a researcher whose work lies at the intersection of autonomous vehicle safety and multi-agent systems, with a primary focus on cooperative localization and nonlinear observability. Their most-cited paper, "Range-based Cooperative Localization with Nonlinear Observability Analysis" (2019, 12 citations), addresses a critical challenge in autonomous driving: enabling vehicles to accurately estimate each other’s positions in safety-critical scenarios like intersection navigation and intention-aware planning. By applying rigorous nonlinear observability analysis to multi-robot cooperative localization, Ogata’s work provides a theoretical foundation for ensuring that sensor networks can reliably estimate joint states—a key enabler for guardian systems and collision avoidance. This contribution is particularly notable for bridging the gap between theoretical control theory and practical deployment in autonomous systems. While their citation count reflects an emerging career, the technical depth of their work has positioned them as a rising voice in the field, offering solutions that enhance the robustness of cooperative perception for next-generation transportation safety.
Research Focus
Key Achievements
Top Papers
- 1Range-based Cooperative Localization with Nonlinear Observability Analysis12 citations · 2019