Urban reconstruction combining photogrammetry, remote sensing, computer vision, and computer graphic is an active research area with broad impact on several potential applications. In this work, a fast, completely automated approach to create 3D watertight building models from aerial LiDAR (Light Detection and Ranging) point clouds is presented. The developed method analyzes the scene content a...

A new method for extracting planar polygonal rooftops in monocular aerial imagery is proposed. Structural features are extracted and hierarchically related using perceptual grouping techniques. Top-down feature veri cation is used so that features, and links between the features, are veri ed with local information in the image and weighed in a graph. Cycles in the graph correspond to possible b...

This paper presents a computational approach to forecast photovoltaic (PV) power in kW based on a neural network linkage of publicly available cloud cover data and on-site solar irradiance sensor data. We also describe a control approach to utilize rooftop air conditioning units (RTUs) to support renewable integration. The PV forecasting method is validated using data from a rooftop PV panel in...

In fixed-to-fixed channel, it is widely assumed that the channel is stationary in time for above rooftop LOS propagation. This assumption is based on the fact that surrounding buildings are the main cause of multipath fading. However, the channel become quasi-stationary in time especially at lower receiving height (below rooftop) and for cases where moving objects are in the vicinity of receivi...

A ray-tracing algorithm is used to simulate broadband radio propagation at 3.5GHz for a FWA network in a high-rise city environment. Both coverage and uplink interference are investigated, with linear antenna polarisation. It is shown that some rooftop locations are unsuitable positions for SU’s, due to the existence of single or multiple-bounce reflected rays causing uplink interference. It is...

Automatic recognition and reconstruction of buildings from aerial and space images is of great practical interest for many of applications such as cartography and photo-interpretation. Building detection is the first and very difficult step in building recognition and reconstruction. It is to find buildings and separating them from the background in the presence of distractions caused by other ...

This study represents advancements in the state-of-the-art of the solar energy industry by leveraging LiDAR-based building characterization for city-wide, distributed solar photovoltaics, solar maps, highlighting the distribution of solar energy across the city of San Antonio. A methodology is implemented to systematically derive the tilt and azimuth angles of each rooftop and to quantify solar...

With rapid urbanization, highly accurate and semantically rich virtualization of building assets in 3D become more critical for supporting various applications, including urban planning, emergency response and location-based services. Many research efforts have been conducted to automatically reconstruct building models at city-scale from remotely sensed data. However, developing a fully-automa...