As public road space is subject to rapid change, new challenges arise in terms of traffic and mobility transformation. A future-oriented solution requires, in particular, rapid adaptation of urban and traffic planning. Digitalization can help optimize planning processes and make them more efficient. For this to happen, the necessary database must be expanded and made more usable.
To implement this, city cleaning vehicles will be equipped with cameras and sensor technology such as LiDAR to ensure the quality of the road space. We are developing intelligent systems that will automatically evaluate the collected data. These assessments allow conclusions to be drawn about the condition of the road space. We are especially interested in objects that might change quickly over time or compromise the traffic flow.
Aims
The goal of DiGuRaL is to make data on stationary and moving traffic available to the Urban Data Platform (UDP) of the City of Leipzig, as well as to interested parties from industry and municipalities. For this purpose, existing and newly collected data will be combined, processed and harmonized. As a result, anonymized data sets will be used to promote a safe and efficient evaluation of road space and intelligent traffic management for the Leipzig urban area.
The primary objective is to minimize the amount of time and effort required to assess the road space of the city and devise a prudent maintenance strategy.
Improved planning and prioritization of regular road inspections
Targeted inspections in the event of anomalies
Initiation and control of further measures to eliminate defects.
Data privacy protection for employees and citizens.
Practical example
Assess the quality and condition of the street surface, street signs, and street markings
detect vegetation and find out where it overgrows the street and must be trimmed
anonymize people and cars in the images
Technology
Computer Vision models for Object Detection, Semantic Segmentation, and Image Classification
LiDAR technology and 3D point cloud processing
data protection and privacy techniques
Outlook
computer vision algorithms can be used in almost any application field
LiDAR technology is also used for autonomous driving and remote sensing
the developed system could be used in different cities
collect and compare data over a long period of time
analyze developments
Team
Lead
Prof. Dr. Erhard Rahm
Leipzig University
Department of Computer Science, Database Group, Chair of Databases
Dr. Eric Peukert
Leipzig University
Department of Computer Science
Team Members
Miriam Louise Carnot
Leipzig University
Partner
Aufbauwerk Leipzig
Stadt Leipzig
Stadtreinigung Leipzig
Universität Leipzig
ccc Software GmbH
Cyface GmbH
funded by:
ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is a center for Data Science, Artificial Intelligence and Big Data with locations in Dresden and Leipzig.
Dresden
Visitor addressTechnische Universität Dresden
ScaDS.AI Dresden/Leipzig
Bürogebäude Strehlener Straße
Strehlener Straße 12, 14
01069 Dresden
Postal addressTechnische Universität Dresden
Zentrum für Informationsdienste und Hochleistungsrechnen
ScaDS.AI Dresden/Leipzig
01062 Dresden