"The vialytics system is an innovation that has emerged from extensive research and development. For this purpose, we also cooperate with public research institutions and continuously advance our technology.
We are grateful that the state and the federal government recognize our research achievements and support them. The subsidies are an important building block in creating incentives for a technology ecosystem from which innovations emerge. This is the only way we can maintain our global competitiveness."
Patrick Glaser
CEO
AI-based recognition and evaluation of traffic signs and signals.
KERAV
With KERAV, traffic signs and road signs are to be automatically detected using AI and evaluated for their object-specific damage. The image data will be collected during route inspections by a smartphone mounted on the inside of the windshield of municipal vehicles and specially developed vialytics smartphone app.
Funding as part of the second InvestBW "Digitization and AI" funding call of the Ministry of Economy, Labor and Tourism.
Timeframe: 06-15-2023 - 04-15-2024
Sensoric and AI-based road condition analysis.
SEKISA
In the joint project SEKISA , together with the Karlsruhe Institute of Technology (KIT), we are focusing in a feasibility study on the AI analysis of data collected by acceleration and LIDAR sensors from commercially available smartphones, which are to be used to assess the condition of roads and other infrastructure.
Funding received as part of the funding line 1 of the "Mobility of the Future" from the mFund of the Federal Ministry of Digital Affairs and Transport.
Timeframe: 8-1-2022 – 7-31-2023
Further Information:
Feasibility study together with KIT:
- Markus Reischl: KIT
- Jens Kühne: Kühne Digital
The SEKISA joint project is being funded by the German Federal Ministry of Digital Affairs and Transport as part of the mFUND innovation initiative with a total of around 100,000 euros.
About the mFund of BMDV:
As part of the mFUND innovation initiative, the BMDV has been funding data-based research and development projects for digital and connected mobility 4.0 since 2016. Project funding is supplemented by active professional networking between stakeholders from politics, business, administration and research and by making open data available on the mCloud portal.
Time-based analysis of visual information of the road surface
ZAVIS
In the ZAVIS innovation project, the aim was to automatically and reliably identify changes in road damage on image data in order to be able to systematically track a road change progression.
The challenge with ZAVIS was to specifically recognize the damage detected and classified on a road section in the image data, which is collected again by the municipalities at intervals of months, and to automatically evaluate their changes.
Funding as part of the Baden-Württemberg AI Innovation Competition of the Ministry of Economics, Labor and Tourism
Timeframe: 1-1-2021 - 12-31-2021