Abstract
Abstract. In this contribution it is shown how an UAV system can be built at low costs. The components of the system, the equipment as well as the control software are presented. Furthermore an implemented programme for photogrammetric flight planning and its execution are described. The main focus of this contribution is on the generation of 3D point clouds from digital imagery. For this web services and free software solutions are presented which automatically generate 3D point clouds from arbitrary image configurations. Possibilities of georeferencing are described whereas the achieved accuracy has been determined. The presented workflow is finally used for the acquisition of 3D geodata. On the example of a landfill survey it is shown that marketable products can be derived using a low-cost UAV.
Highlights
Mobile Mapping can be defined as the acquisition of spatiotemporal phenomena by utilising a mobile multi-sensor platform
Its aim is to derive structured object information from the registered data. This information can be handed to a user in form of e.g. maps or digital terrain models (DTM)
The process chain in Mobile Mapping consists of the following steps: 1. Mobilisation of the platform, 2. data acquisition, 3. data processing, 4. extraction of object information, 5. allocation of object information to a user
Summary
Mobile Mapping can be defined as the acquisition of spatiotemporal phenomena by utilising a mobile multi-sensor platform. Multi-sensor platforms are being offered by many manufacturers for several years that are equipped, among other parts, with the following components: Integrated navigation unit consisting of GNSS receivers (GPS) and an inertial measurement unit (IMU), optical 3D measurement system mostly represented through one or several laser scanners and cameras. Such systems, whose acquisition costs start at approximately 100 000 Euro, can be adapted at planes, helicopters or land crafts. In this contribution chances for geodata acquisition by applying the above mentioned technique in combination with UAVs are pointed out
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