Abstract
In small body orbital exploration, long communication delays necessitate high spacecraft autonomy. Optical cameras, offering rich environmental perception, are essential low-cost sensors for autonomous navigation. Multi-spacecraft cooperative exploration further enhances observation coverage and system robustness, making cooperative navigation a key research focus. This paper proposes an optical camera-based method for cooperative navigation and landmark set construction method for multi-spacecraft orbital missions. During initialization, each spacecraft integrates multi-frame visual odometry with initial orbit and attitude data to estimate its state and construct a landmark set in the small body's body-fixed frame. During operation, an adaptive density-based clustering algorithm (DBSCAN) dynamically extracts dense and stable core landmarks. A weighted fusion and Iterative Closest Point (ICP) registration strategy then aligns and integrates landmark sets across spacecraft into a fused surface landmark set. This fused landmark set supports ongoing state propagation and landmark updating, enabling continuous optimization and collaborative mapping. Simulations verify that the proposed method improves both mapping accuracy and state estimation robustness, supporting autonomous navigation for deep-space multi-spacecraft missions.
| Original language | English |
|---|---|
| Pages (from-to) | 2290-2295 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 59 |
| Issue number | 20 |
| DOIs | |
| Publication status | Published - 1 Aug 2025 |
| Externally published | Yes |
| Event | 23th IFAC Symposium on Automatic Control in Aerospace, ACA 2025 - Harbin, China Duration: 2 Aug 2025 → 6 Aug 2025 |
Keywords
- DBSCAN
- Feature-Based Navigation
- ICP Registration
- Landmark Set Fusion
- Multi-Spacecraft Navigation
- Small Body Exploration