Street view imagery has rapidly ascended as an important data source for geospatial data
collection and urban analytics, deriving insights and supporting informed decisions. Such …

This article provides a comprehensive survey on pioneer and state-of-the-art 3D scene
geometry estimation methodologies based on single, two, or multiple images captured …

Abstract We explored Google Street View (GSV) as a street-level, urban greenery
assessment tool. Street-level greenery has long played a critical role in the visual quality of …

A computational problem that arises frequently in computer vision is that of estimating the
parameters of a model from data that have been contaminated by noise and outliers. More …

Abstract 3D building models are an established instance of geospatial information in the
built environment, but their acquisition remains complex and topical. Approaches to …

Extensive evidence has revealed that street greenery, as a quality-of-life component, is
important for oxygen production, pollutant absorption, and urban heat island effect …

Each corner of the inhabited world is imaged from multiple viewpoints with increasing
frequency. Online map services like Google Maps or Here Maps provide direct access to …

This paper presents an open source LiDAR-camera calibration toolbox that is general to
LiDAR and cam-era projection models, requires only one pairing of LiDAR and camera data …

Urban forests are becoming increasingly important for human well-being as they provide
ecosystem services that contribute to improving well-being of city dwellers and to addressing …

A sustainable city relies on renewable energy, which promotes the development of electric
vehicles. To support electric vehicles, the concept of charging vehicles while driving has …