Abstract | ||
---|---|---|
AI algorithms that identify maneuvers from trajectory data could play an important role in improving flight safety and pilot training. AI challenges allow diverse teams to work together to solve hard problems and are an effective tool for developing AI solutions. AI challenges are also a key driver of AI computational requirements. The Maneuver Identification Challenge hosted at maneuver-id.mit.ed... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/HPEC49654.2021.9622788 | 2021 IEEE High Performance Extreme Computing Conference (HPEC) |
Keywords | DocType | ISSN |
Training,Conferences,Transforms,Computer architecture,Tools,Supercomputers,Trajectory | Conference | 2377-6943 |
ISBN | Citations | PageRank |
978-1-6654-2369-4 | 0 | 0.34 |
References | Authors | |
0 | 11 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kaira Samuel | 1 | 0 | 0.68 |
Vijay Gadepally | 2 | 449 | 50.53 |
David Jacobs | 3 | 0 | 0.34 |
Michael Jones | 4 | 7 | 1.48 |
Kyle McAlpin | 5 | 0 | 0.34 |
Kyle Palko | 6 | 0 | 0.34 |
Ben Paulk | 7 | 0 | 0.34 |
Sid Samsi | 8 | 0 | 1.01 |
Ho Chit Siu | 9 | 18 | 2.90 |
Charles Yee | 10 | 7 | 3.17 |
Jeremy Kepner | 11 | 7 | 1.48 |