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Mutual Calibration for 3D Thermal Mapping

机译:3D热映射的相互校准

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Three-dimensional digital heat distribution maps are needed to assess the energy efficiency of real estates. The availability of such maps are of great importance for reducing the ecological footprint of houses, buildings, and factories. Designing estates has reached the point, where so-called Passivhaus buildings make extensive use of the intrinsic heat from internal sources such as waste heat from lighting, white goods, and other electrical devices, but without using dedicated heaters. In our approach for creating high-precise heat distribution maps a robot is equipped with a 3D laser scanner, a thermal camera, and a color camera. Data from all the sensors are combined to model the environment precisely. This paper describes the setup of the sensors and the processing of the acquired data, including the automatic co-calibration needed to fulfill this task.
机译:需要三维数字热分布图来评估实际估算的能量效率。这些地图的可用性对于减少房屋,建筑物和工厂的生态足迹具有重要意义。设计庄园已经达到了这一点,其中所谓的Passivhaus建筑物广泛地利用来自照明,白色和其他电气设备的内部来源(如废热)的内在热量,但不使用专用加热器。在我们创建高精度热分布的方法中,机器人配备了3D激光扫描仪,热敏摄像机和彩色相机。所有传感器的数据都组合以精确地模拟环境。本文介绍了传感器的设置和获取数据的处理,包括满足此任务所需的自动共校准。

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