Optimal Planning of Indoor Laser Scans Based on Continuous Optimization
Automation in construction(2022)
摘要
The automatic scanning system of terrestrial laser scanning requires an efficient scanning solution owing to the time-consuming and labor-intensive data acquisition process. Most existing methods tend to achieve a prior scan planning by using a discrete solving process but need a user-defined discretization resolution, which often leads to the challenge of finding the scanning locations. This study describes a two-dimensional (2D) based scheme for scan planning. In the proposed method, the scanning location consensus based on multi-objective optimization is designed to guarantee the registrability and completeness of scan planning. A breadth-first strategy combined with a backtracking process is employed to find a minimal scanning location set. Validation experiments have been conducted on two real-world scenes and verified the effectiveness and feasibility of the proposed method. The proposed method achieves the optimal scan planning and yields almost 90%, 70% improvement on planning time compared with greedy approach and expert plans separately.
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关键词
Planning for scanning,Multi -objective,Heuristic optimization,Greedy algorithm,Terrestrial laser scanning
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