English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper presents a project of recording and modelling tunnels, traffic circles and roads from multiple sensors. The aim is the\udrepresentation and the accurate 3D modelling of a selection of road infrastructures as dense point clouds in order to extract profiles\udand metrics from it. Indeed, these models will be used for the sizing of infrastructures in order to simulate exceptional convoy truck\udroutes. The objective is to extract directly from the point clouds the heights, widths and lengths of bridges and tunnels, the diameter\udof gyrating and to highlight potential obstacles for a convoy. Light, mobile and fast acquisition approaches based on images and\udvideos from a set of synchronized sensors have been tested in order to obtain useable point clouds. The presented solution is based\udon a combination of multiple low-cost cameras designed on an on-boarded device allowing dynamic captures. The experimental\uddevice containing <i>GoPro Hero4</i> cameras has been set up and used for tests in static or mobile acquisitions. That way, various\udconfigurations have been tested by using multiple synchronized cameras. These configurations are discussed in order to highlight the\udbest operational configuration according to the shape of the acquired objects. As the precise calibration of each sensor and its optics\udare major factors in the process of creation of accurate dense point clouds, and in order to reach the best quality available from such\udcameras, the estimation of the internal parameters of fisheye lenses of the cameras has been processed. Reference measures were\udalso realized by using a 3D TLS (<i>Faro Focus 3D</i>) to allow the accuracy assessment

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

IMAGE CAPTURE WITH SYNCHRONIZED MULTIPLE-CAMERAS FOR EXTRACTION OF ACCURATE GEOMETRIES