3D Content Generation using Hybrid Aerial Sensor Data
The need for a wide variety of actual data becomes more and more important. Especially in the context of smart cities 3D data is one of the main sources for all kind of planning processes. This also leads into the fact that a one-time 3D model of a city is no longer suitable. But on the contrary, there is a big need for faster updates of the data and a greater variation of data products. In this context elevation becomes highly important, what means elevation not only above sea level, but also the height above the ground, like building or tree heights. Additionally, the data should be suitable for all kinds of analysis and so additional semantical information that comes with or can be derived from the data itself will be one of the success criteria. Acquiring the data required with traditional sensors systems will need a high quantity of flying hours, what is often difficult due to airspace regulations, weather conditions or availability of the right equipment, expensive and due to CO2 emissions ecologically questionable. By combining the single sensors like image sensor and LiDAR into hybrid systems for a simultaneous capture of all required information makes the results more reliable and reduces the cost and environmental impact.