THE PROJECT

AI-SEE aims to develop a robust and fault-tolerant novel sensing technology and associated AI enabling automated driving in all relevant weather & lighting conditions (snow, heavy rain, fog).

Consortium Overview

The strong industrially driven consortium is coordinated by Mercedes Benz AG. Major OEMs and world class suppliers including software specialists lend credibility to an industrialized, marketable sensor system. The development work is supported by research institutes and engineering companies with large experience in AI, signal processing and simulation specific topics.

OEMs
 

System providers (hardware and software)
 

Technology providers (AI algorithms and frameworks)
 

Development tools and simulation
 

Modules and Components
 

Inclement weather testing facilities
 

AI-SEE at a glance

Coordinator

Dr. Werner Ritter

Mercedes Benz AG

21 Partners

OEMs, Automotive Suppliers, Research Institutes, Engineering Companies

36 Months runtime

01.06.2021- 31.05.2024

6 Countries

Austria, Canada, Finland, Germany, Israel, Sweden

€20M

Total Costs

€10M

Funding Budget

The impact

The importance of the automotive industry for the EU’s economy is crucial. The European automotive sector is one of the largest global exporter and driver of Europe’s growth and prosperity with 2.7 million people employed in the production of motor vehicles which accounts for 8.5% of EU manufacturing jobs. The automotive industry needs to stay in the forefront and can only do so by being technology leaders that provide significant value added benefits to the consumers. 

The industry is adjusting to a sharing society that sees transportation less as a product to buy but more as a mobility service – with the global market for shared vehicles and mobility offerings predicted to grow exponentially in the years from 2020 onwards. 
With its novel sensing technology, AI-SEE has the potential to set a new industry benchmark for automated vehicles first entering the market and operating flawless in all visibility and weather conditions.

Concretely, AI-SEE will

  • create a paradigm shift in signal enhancement technique by performing sensor-near transformation of good weather datasets into adverse datasets
  • reduce the costs for the creation of adverse weather annotated data for AI
  • sustain jobs & foster economic growth
  • reduce high costs for AI & Lidar data
  • strenghten Europe's lead in Automotive
  • shorten the time to market
  • improve road safety