Name
Abstract | ||
|---|---|---|
This study was intended to investigate the time-dependent autonomous task planning of agile imaging satellites. Based on the analysis of the major constraints of the problem, a model was established by integrating the satellite task planning with time-dependent scheduling. According to the dynamic observation requirements, the mode and framework of on-board autonomous task planning were designed by combining planning, decision-making, execution and feedback. A strategy of simultaneous planning and execution and a heuristic algorithm of rolling planning were proposed in order to replace the one-time global planning with successive local planning. Results demonstrated that the proposed method can not only respond quickly to the dynamic observation requirements, but also allow more tasks to be imaged around the optimal time point. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3233/IFS-162202 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Time-dependent,agile imaging satellites,autonomous task planning,heuristic | Time point,Scheduling (computing),Real-time computing,Local planning,Artificial intelligence,Automated planning and scheduling,Satellite,Industrial engineering,Heuristic (computer science),Mode (statistics),Agile software development,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
31 | 3 | 1064-1246 |
Citations | PageRank | References |
3 | 0.42 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Song Liu | 1 | 4 | 1.45 |
| Ying-Wu Chen | 2 | 205 | 19.89 |
| Lining Xing | 3 | 16 | 8.51 |
| Xiaojun Guo | 4 | 3 | 0.42 |