Bruno Willenborg

• M.Sc.
• Research Associate at Technical University of Munich

Advances in deep learning techniques for remote sensing as well as the increased availability of high-resolution data enable the extraction of more detailed information from aerial images. One promising task is the semantic segmentation of roof segments and their orientation. However, the lack of annotated data is a major barrier for deploying resp...

On a global scale, semantic 3D city models with Level of Detail 2 become more and more available. Automated generation of higher Level of Detail models is an active field of research, but low coverage of dense LiDAR or photogrammetric point clouds is a barrier. Therefore, this paper presents a novel approach for enriching semantic 3D city models wi...

A range of different and increasingly accessible acquisition methods, the possibility for frequent data updates of large areas, and a simple data structure are some of the reasons for the popularity of three-dimensional (3D) point cloud data. While there are multiple techniques for segmenting and classifying point clouds, capabilities of common dat...

Reducing the demand for non-renewable resources and the resulting environmental impact is an objective of sustainable development, to which buildings contribute significantly. In order to realize the goal of reaching a climate-neutral building stock, it must first be analyzed and evaluated in order to develop optimization strategies. The life cycle...

Trend analysis Intergeo 2017 Trendanalyse Intergeo 2017

High-resolution 3D mesh models are an inexpensive and increasingly available data source for 3D models of cities and landscapes of high visual quality and rich geometric detail. However, because of their simple data structure, their analytic capabilites are limited. Semantic 3D city model contain rich thematic information and are well suited for an...

The administration of modern cities is a complex task involving various disciplines. To satisfy their specific needs regarding planning and decision making, all of them require a virtual representation of the city. Semantic 3D city models offer a reliable and increasingly available virtual representation of real world objects in an urban context. T...

Since the generation of road networks and environment models for traffic and driving simulations is time-consuming, alternative data sources are brought into focus. This article proposes two concepts for a coupling of traffic simulations and 3D city models according to the CityGML standard. The first one covers an automatic derivation of simulation...

Semantic 3D city models play an important role in solving complex real-world problems and are being adopted by many cities around the world. A wide range of application and simulation scenarios directly benefit from the adoption of international standards such as CityGML. However, most of the simulations involve properties, whose values vary with r...

Computer-aided collaborative and multi-scale 3D planning are challenges for complex railway and subway track infrastructure projects in the built environment. Many legal, economic, environmental, and structural requirements have to be taken into account. The stringent use of 3D models in the different phases of the planning process facilitates comm...

This paper demonstrates how linked data can be used to provide a semantically rich connection between the domains of building information modeling (BIM) and geographic information systems (GIS). Expertise from both domains is necessary for the planning of infrastructure projects such as roads, tunnels, bridges, and railways, as these projects usual...

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A major challenge in the context of global urbanization is to make cities “smarter” in order to satisfy their increasing requirements to safety, environmental conditions and quality of living. This requires both the environmental and social processes taking place in cities to be perspicuous and predictable. Today, simulations from various disciplin...