New method for laser scanner viewpoint optimization

地面激光扫描仪(TLS)等现实捕捉技术通常用于收集建筑环境的准确三维数据。根据这些数据构建的模型将用于开发建筑信息模型(BIM)。BIM可以更有效地规划维护和翻新以及整体设施管理。BIM的准确性在很大程度上取决于TLS数据的准确性和完整性。对于工业加工厂、机场和购物中心等复杂场所，可能需要数百个甚至数千个TLS仪器位置。仔细规划TLS调查对于满足BIM要求，同时最大限度地减少劳动力成本至关重要，这包括实地数据收集和后处理。目前的做法在很大程度上是基于操作员经验的临时过程。该项目将开发一种规划TLS调查的新方法，目的是减少数据获取和运动后数据处理的费用。它将为全日制理科硕士学生和本科生提供宝贵的培训，他们将获得与行业相关的技能，以规划、执行和分析TLS房地产捕获项目。

Reality capture technologies such as terrestrial laser scanners (TLSs) are commonly used to collect accurate, three-dimensional data of the built environment. Models constructed from these data are to develop building information models (BIMs). BIMs allow more efficient planning of maintenance and renovations and overall facility management. BIM accuracy is critically dependent on the accuracy and completeness of the TLS data. Hundreds if not thousands of TLS instrument locations may be needed for complex sites such as industrial process plants, airports and shopping malls. Careful planning of a TLS survey is critical to meet BIM requirements while minimizing labour costs, which include both field data collection and post-processing. Current practice is largely an ad hoc process based on operator experience. This project will develop a new method for planning TLS surveys with the aim of reducing the costs of data acquisition and post-campaign data processing. It will provide valuable training for a full-time MSc student and an undergraduate student who will gain industry-relevant skills for the planning, execution and analysis of TLS realty-capture projects.