A diversified August issue of GIM International, with articles focusing on topics ranging from point clouds acquired by mobile mapping systems to spatial intelligence in the context of big data. Also worth mentioning is the interview with GSDI president Dave Lovell, titled 'Maximising the Benefit of Geospatial Information'.
- Mobile Laser Scanning Point Clouds: Status and Prospects of Automatic 3D Mapping of Road Objects (p. 18)
- Tandem for 3D Corridor Mapping: Simultaneous Geo-data Capture from the Ground and from the Air (p. 23)
- Turning UAV and Lidar into Something Beautiful: YellowScan International User Conference 2017 (p. 26)
- 'Location' Forms Ubiquitous Part of Big Data Analytics: IBM Shows a Mainstream Direction for Spatial IT (p. 29)
- Scan-to-BIM in the Pre-design Phase: 3D Laser Scanning and Modelling of Existing Conditions (p. 34)
The demand for 3D maps of cities and road networks is steadily increasing and mobile mapping systems are often the preferred geo-data acquisition method for capturing such scenes. Manual processing of point clouds is labour intensive and thus time consuming and expensive. This article focuses on the state of the art of automatic classification and 3D mapping of road objects from point clouds acquired by mobile mapping systems and considers the feasibility of exploiting scene knowledge to increase the robustness of classification.
Mapping of roads, pipelines and other linear structures is an important geomatics activity. Geo-data acquisition technologies, which are increasingly used for corridor mapping and also for 3D mapping of urban areas, are mobile mapping systems and UASs. Can these two technologies be combined for simultaneously capturing corridors from the ground and from the air to improve efficiency, completeness and accuracy?
Mounting Lidar on an unmanned airborne vehicle (UAV) is called the next geospatial frontier but gradually the barriers are levelled. Scientists and Lidar and UAV adopters from surveying companies gathered at the second YellowScan User Conference to discuss the future of this novel and promising geo-data acquisition technology. About the potential of equipping UAVs with Lidar sensors, resulting in what may be called UAS-Lidar.
The high demand for energy-efficiency of buildings nowadays has triggered the need for gathering documentation on existing construction conditions. This information is then used to design buildings with high consideration to the site or to allow the renovation of old buildings that can no longer meet the requirements for energy performance or comfortable living. The documentation required for this type of situation is often outdated or missing, and to create an optimal design the existing conditions need to be registered and analysed using advanced technological methods, such as Building Information Modelling (BIM) and 3D laser scanning.