Data · dataset · 2026
Benchmark Simulation Dataset for Low-Altitude Aircraft Swarms Formation Obstacle Avoidance and Trajectory Cooperation Planning
Listed in ScienceDB
Description
This dataset contains research data associated with the article "Low-Altitude Aircraft Swarms Formation Obstacle Avoidance and Trajectory Cooperation Planning." The data were derived from benchmark simulations conducted in MATLAB R2022b for formation obstacle avoidance and trajectory planning of low-altitude aircraft swarms. Four randomized low-altitude flight scenarios were considered: Building 1, Building 2, Forest 1, and Forest 2.
The experiments compare the front-end path-search methods RRT-connect, RRT$^{\ast}$, and A-RRT$^{\ast}$, together with the back-end trajectory-optimization methods quadratic programming (QP) and non-uniform B-spline.The current data file, data_new.xls, contains aggregated statistics calculated from 100 independent runs. It includes 16 valid scenario-method records across the four scenarios. For each record, the mean and standard deviation of planning time, trajectory cost, and trajectory length are reported.
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The dataset supports Table 1 and the corresponding comparative analysis in the article. The workbook contains derived summary statistics rather than the per-run raw observations from the 100 independent runs.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.010fv ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Aerospace engineering 73% · Simulation 75% · Tabular 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.010fv | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4001 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (73%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:tabular | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |