In recent years, the automated digital capture of traffic infrastructure has gained importance. Apart from large-scale map providers, also automotive manufacturers and traffic infrastructure providers rely on digital spatial information for different purposes. There are two main drivers for this field of research: the need for precise spatial digital twins to enable simulation and driving functions, especially for autonomous mobility the need for predictive maintenance and asset management of infrastructure
In addition to vehicles that are guided automatically along roads of preselected types, a project is...
The vehicles of the conditional, high, and full automation levels have a common unique sensor, the m...
In order to effectively manage and maintain the nation’s transportation infrastructure, accurate inv...
In recent years, the automated digital capture of traffic infrastructure has gained importance. Apar...
peer reviewedIn cooperative, connected, and automated mobility (CCAM), the more automated vehicles c...
The conversion towards a more automated transport system causes new challenges for information shari...
While road transport is a cornerstone of modern civilization bringing profound positive impacts to t...
All rights reserved. Digital Twin of an infrastructure is a living digital simulation that brings al...
With an ever-increasing number of vehicles roaming the streets and a general intensification of ongo...
Funding Information: AcknoWledgment This work is partially supported by the Academy of Finland Proje...
Over the last years, significant resources have been devoted to developing new automation technologi...
Latest developments in camera technology and computer vision, as well as in computer and communicati...
This paper presents an integrated digital video-GIS referenced system for spatial data collection an...
Conventional road safety models rely on historical crash data. Locations with high crash injury stat...
The main goal of this project was to demonstrate how large data sources such as Google Maps can be u...
In addition to vehicles that are guided automatically along roads of preselected types, a project is...
The vehicles of the conditional, high, and full automation levels have a common unique sensor, the m...
In order to effectively manage and maintain the nation’s transportation infrastructure, accurate inv...
In recent years, the automated digital capture of traffic infrastructure has gained importance. Apar...
peer reviewedIn cooperative, connected, and automated mobility (CCAM), the more automated vehicles c...
The conversion towards a more automated transport system causes new challenges for information shari...
While road transport is a cornerstone of modern civilization bringing profound positive impacts to t...
All rights reserved. Digital Twin of an infrastructure is a living digital simulation that brings al...
With an ever-increasing number of vehicles roaming the streets and a general intensification of ongo...
Funding Information: AcknoWledgment This work is partially supported by the Academy of Finland Proje...
Over the last years, significant resources have been devoted to developing new automation technologi...
Latest developments in camera technology and computer vision, as well as in computer and communicati...
This paper presents an integrated digital video-GIS referenced system for spatial data collection an...
Conventional road safety models rely on historical crash data. Locations with high crash injury stat...
The main goal of this project was to demonstrate how large data sources such as Google Maps can be u...
In addition to vehicles that are guided automatically along roads of preselected types, a project is...
The vehicles of the conditional, high, and full automation levels have a common unique sensor, the m...
In order to effectively manage and maintain the nation’s transportation infrastructure, accurate inv...