Research on intelligent vehicles has been popular in the past decade. To fill the gap
between automatic approaches and man-machine control systems, it is indispensable to …

Data analysis often involves the comparison of complex objects. With the ever increasing
amounts and complexity of data, the demand for systems to help with these comparisons is …

Urban spaces consist of a complex collection of buildings, parcels, blocks and
neighbourhoods interconnected by streets. Accurately modelling both the appearance and …

It is well known that visual analytics addresses the difficulty of evaluating and processing
large quantities of information. Less often discussed are the increasingly complex analytic …

Arguably the most representative application of artificial intelligence, autonomous driving
systems usually rely on computer vision techniques to detect the situations of the external …

Route suggestion is an important feature of GPS navigation systems. Recently, Microsoft T-
drive has been enabled to suggest routes chosen by experienced taxi drivers for given …

Architects working with developers and city planners typically rely on experience, precedent
and data analyzed in isolation when making decisions that impact the character of a city …

While cities around the world are looking for smart ways to use new advances in data
collection, management, and analysis to address their problems, the complex nature of …

Virtual 3D city models increasingly cover whole city areas; hence, the perception of complex
urban structures becomes increasingly difficult. Using abstract visualization, complexity of …

Deep learning methods are being increasingly used for urban traffic prediction where
spatiotemporal traffic data is aggregated into sequentially organized matrices that are then …