16 citations · 20 across the 7 of their papers we have counts for
8 papers
Full Stack Navigation, Mapping, and Planning for the Lunar Autonomy Challenge
Adam Dai, Asta Wu, Keidai Iiyama +4
We present a modular, full-stack autonomy system for lunar surface navigation and mapping developed for the Lunar Autonomy Challenge. Operating in a GNSS-denied, visually challengi…
GNSS-based Lunar Orbit and Clock Estimation With Stochastic Cloning UD Filter
Keidai Iiyama, Grace Gao
This paper presents a terrestrial GNSS-based orbit and clock estimation framework for lunar navigation satellites. To enable high-precision estimation under the low-observability c…
Trade-off Analysis for Lunar Augmented Navigation Service (LANS) Constellation Design
Keidai Iiyama, Grace Gao
The establishment of a sustainable human presence on the Moon demands robust positioning, navigation, and timing (PNT) services capable of supporting both surface and orbital opera…
Ionospheric and Plasmaspheric Delay Characterization for Lunar Terrestrial GNSS Receivers with Global Core Plasma Model
Keidai Iiyama, Grace Gao
Recent advancements in lunar positioning, navigation, and timing (PNT) have demonstrated that terrestrial GNSS signals, including weak sidelobe transmissions, can be exploited for…
Ephemeris and Almanac Design for Lunar Navigation Satellites
Keidai Iiyama, Grace Gao
This paper presents almanac and ephemeris message representation for lunar navigation satellites supporting the Lunar Augmented Navigation System (LANS). The proposed method combin…
Satellite Autonomous Clock Fault Monitoring with Inter-Satellite Ranges Using Euclidean Distance Matrices
Keidai Iiyama, Daniel Neamati, Grace Gao
To address the need for robust positioning, navigation, and timing services in lunar environments, this paper proposes a novel onboard clock phase jump detection framework for sate…
Autonomous Constellation Fault Monitoring with Inter-satellite Links: A Rigidity-Based Approach
Keidai Iiyama, Daniel Neamati, Grace Gao
To address the need for robust positioning, navigation, and timing services in lunar environments, this paper proposes a novel fault detection framework for satellite constellation…
Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers
Keidai Iiyama, Kento Tomita, Bhavi A. Jagatia +2
This research proposes a new integrated framework for identifying safe landing locations and planning in-flight divert maneuvers. The state-of-the-art algorithms for landing zone s…