The positioning of laser scanners for indoor surveying is still a time and cost expensive process. This article proposes an optimization approach for computing an admissible sensor placement with the minimal number of sensor view point positions. The approach facilitates both wall and floor surveying based on a floorplan of the study object. Optimal solutions are calculated by solving an Integer Linear Program that respects manufacturer specifications incorporating constraints such as full coverage. To enable a subsequent co-registration of the scans, a flow-based constraint formulation ensuring the connectivity of the selected positions in an appropriately defined geometric intersection graph is introduced. The method has been evaluated on real-world objects and compared to heuristic methods that have frequently been used for related problems. Our solutions outperform heuristic approaches regarding both running time and the number of TLS stations. In a case study with a larger floorplan of an institute building and with different parameter settings, our method resulted in a solution with at least two stations less compared to a solution generated by an expert.

用于室内测量的激光扫描仪的定位仍然是一个时间和成本昂贵的过程。本文提出了一种优化方法，用于以最少的传感器视点位置计算可接受的传感器放置。该方法有助于基于研究对象的平面图进行墙壁和地板测量。最佳解决方案是通过求解一个整数线性程序来计算的，该程序遵守制造商规范并包含诸如全覆盖等约束条件。为了实现扫描的后续联合配准，引入了一种基于流的约束公式，以确保在适当定义的几何相交图中所选位置的连通性。该方法已经在现实世界的对象上进行了评估，并与经常用于相关问题的启发式方法进行了比较。我们的解决方案在运行时间和 TLS 站数量方面都优于启发式方法。在具有更大的研究所建筑平面图和不同参数设置的案例研究中，与专家生成的解决方案相比，我们的方法产生的解决方案至少少两个站点。