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Journal Articles
- 2024
[j2]Derek Knowles
, Ashwin Vivek Kanhere, Daniel Neamati, Grace Xingxin Gao:
gnss_lib_py: Analyzing GNSS data with Python. SoftwareX 27: 101811 (2024)- 2023
- [j1]Daniel Neamati, Sriramya Bhamidipati, Grace Xingxin Gao:
Risk-aware autonomous localization in harsh urban environments with mosaic zonotope shadow matching. Artif. Intell. 324: 104000 (2023)
Conference and Workshop Papers
- 2021
- [c1]Brian E. Jackson, Tarun Punnoose, Daniel Neamati, Kevin Tracy, Rianna M. Jitosho, Zachary Manchester:
ALTRO-C: A Fast Solver for Conic Model-Predictive Control. ICRA 2021: 7357-7364
Informal and Other Publications
- 2024
- [i4]Derek Knowles, Ashwin Vivek Kanhere, Daniel Neamati, Grace Xingxin Gao:
gnss_lib_py: Analyzing GNSS Data with Python. CoRR abs/2404.08854 (2024) - [i3]Keidai Iiyama, Daniel Neamati, Grace Xingxin Gao:
Autonomous Constellation Fault Monitoring with Inter-satellite Links: A Rigidity-Based Approach. CoRR abs/2406.09759 (2024) - 2022
- [i2]Daniel Neamati, Sriramya Bhamidipati, Grace Xingxin Gao:
Mosaic Zonotope Shadow Matching for Risk-Aware Autonomous Localization in Harsh Urban Environments. CoRR abs/2205.10223 (2022) - 2021
- [i1]Daniel Neamati, Yashwanth Kumar Nakka, Soon-Jo Chung:
Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness. CoRR abs/2112.09998 (2021)
Coauthor Index
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