Abstract
We revisit the problem of computing shortest obstacle-avoiding paths among obstacles in three dimensions. We prove new hardness results, showing, e.g., that computing Euclidean shortest paths among sets of "stacked" axis-aligned rectangles is NP-complete, and that computing L 1-shortest paths among disjoint balls is NP-complete. On the positive side, we present an efficient algorithm for computing an L 1shortest path between two given points that lies on or above a given polyhedral terrain. We also give polynomial-time algorithms for some versions of stacked polygonal obstacles that are "terrain-like" and analyze the complexity of shortest path maps in the presence of parallel halfplane "walls".
| Original language | English |
|---|---|
| Pages | 124-133 |
| Number of pages | 10 |
| DOIs | |
| State | Published - 2004 |
| Event | Proceedings of the Twentieth Annual Symposium on Computational Geometry (SCG'04) - Brooklyn, NY, United States Duration: Jun 9 2004 → Jun 11 2004 |
Conference
| Conference | Proceedings of the Twentieth Annual Symposium on Computational Geometry (SCG'04) |
|---|---|
| Country/Territory | United States |
| City | Brooklyn, NY |
| Period | 06/9/04 → 06/11/04 |
Keywords
- Motion planning
- NP-hardness
- Shortest path
- Terrain
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