Table · dataset · 2026
<p>Path generation for non-wall-adjacent points.</p>
Listed in NCL Data
<div><p>Cables in three-dimensional (3D) wall-adherent routing must simultaneously satisfy terminal direction vectors and bending curvature constraints, making forward design and precise pre-cutting a significant challenge.
Description
To address this, this paper proposes a hybrid planning method, termed IOLPDC, which combines interference obstacle local post-insertion with improved Dubins curves. The approach first utilizes an undirected graph spanning tree to unfold the 3D routing environment into a two-dimensional (2D) plane.
Within this 2D domain, a multi-waypoint Dubins curve is introduced, and a post-insertion strategy is developed. This strategy generates a highly efficient Dubins path by initially ignoring obstacles, followed by binary-tree detouring, pruning, and redundant waypoint elimination to achieve a high-quality feasible path satisfying both directional and curvature constraints. Additionally, for local non-wall-adherent regions arising during 3D reconstruction, an engineering transition solver based on a 3D Dubins path is implemented via a Differential Evolution algorithm.
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Simulation results in a planar environment demonstrate that compared with Hybrid A* and RRT*Dubins, the proposed IOLPDC method reduces path length by 13.23% and 8.51%, and shortens median planning time by 50.00% and 34.38%, respectively. Experimental verification confirms that cables pre-cut according to the planned lengths precisely match the actual routed paths, effectively eliminating the traditional “cut-to-fit” process and demonstrating strong engineering practicality.</p></div>
Links
Where it is published
- DOI doi.org/10.1371/journal.pone.0359351.t002 ↗
DOI / persistent id · from data ncl ac uk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from data ncl ac uk
Topics
- From keywords
- Astronomy & Astrophysics · Earth & Environmental Science · Infectious diseases · Life Sciences · Medicine & Health · Microbiology
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCL Data | oai:figshare.com:article/34071325 | 19 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:320211 | mapping · data ncl ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:group:3107 | mapping · data ncl ac uk | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].local:field:astronomy | mapping · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · data ncl ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| title | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | /metadata/dc/title |