This September/October issue is focused on the largest annual trade show for the geospatial industry, Intergeo. One of the key themes of both Intergeo and this edition of GIM International is smart cities. 3D geospatial data plays a crucial role in the smart city concept.
The main topics in this issue of GIM International are:
• Point Clouds and Smart Cities
• Indoor Mapping: We Have Only Seen the Beginning
• Automatic Object Detection in Point Clouds
• What’s to See at Intergeo 2018?
• Use of GIS in Smart City Projects
• Rapid Site Surveys Using SLAM Technology
• Chasing BIM: How Surveyors Can Shape the Future
The ‘smart city’ concept entirely relies on a permanent stream of massive amounts of data acquired by a great variety of sensors distributed throughout the city. Smart use of all this data requires integration with 3D city maps for which point clouds, acquired by laser scanning or photogrammetry, are the main sources. The author of this article identifies the abilities of point clouds to support the smart city concept.
Whenever anyone talks about Lidar technology in the geospatial sector, it is only a matter of time before the name RIEGL is mentioned. Thanks to its renowned R&D department, the Austrian provider of innovative Waveform Lidar technology has a rich history of proven innovations in 3D. Today, RIEGL provides mapping and surveying professionals with airborne, mobile, terrestrial, industrial and unmanned laser scanning solutions. To tie in with the company’s 40th anniversary, GIM International interviewed founder Dr Johannes Riegl and three of his staff members.
The development of detection methods is a complex task due to the significant diversity of objects, the random structure of point clouds, and the different characteristics of point clouds created by airborne, mobile or static systems or image matching. This article introduces classification approaches for automatic object detection and highlights several challenges related to the topic.
Over the past decade, photogrammetry from unmanned aerial vehicle (UAV or ‘drone’) data has proven itself as an effective method to capture high-resolution aerial imagery, while drones have demonstrated their value for mapping and surveying professionals as platforms for carrying payloads that include a variety of sensors. One of the leading developers of software solutions to convert the imagery into high-end geospatial solutions is Pix4D