Abstract

“Dynamic projection mapping” is a variation of the best-known “projection mapping”. It considers the perceptual analysis of the urban landscape in which the video projection and the observer’s displacement speed are hypothesized. This latter, in particular, is variable and may depend on factors not directly controllable by the driver (slowdowns due to accidents, rallies, etc.). This speed can be supported and controlled by a number of traffic flow measurement systems. These data are available on the internet, like Google Maps APIs and/or speed sensors located close to the point of interest. The content of projection becomes dynamic and varies according to how the observer perceives the vehicle: slow, medium, fast.

Highlights

  • Research proves that today’s perception of the city and digital arts can create a new form of interaction and perception, defined as “dynamic urban projection mapping”

  • Our research aims at analyzing the use of colors, light and shapes in the world of design and

  • Our research explores a number of previously analyzed aspects within the framework of urban landscape perception, “projection mapping” and “interactive design”

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Summary

Introduction

Research proves that today’s perception of the city and digital arts can create a new form of interaction and perception, defined as “dynamic urban projection mapping”. Projection mapping is a particular type of augmented reality. It is generated through digital processing, which interacts with an area that is not necessarily flat, projecting an image or a flow of images onto it. A further development is “dynamic projection mapping”, where a different message is displayed according to the observer’s displacement speed. In this case, the observer’s displacement speed is considered in addition to the type of perception and the flow of data displayed; in the case of a motor vehicle, it is detected by special sensors and can be used to generate a message that changes with the vehicle speed

Perception of the Urban Landscape
Projection Mapping
Research Objectives
Dynamic Urban Projection Mapping
Findings
Conclusions
Full Text
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