Shaping the mobility of the future

White vans in a row. Above the vans, a few facts and figures of the project are listed.

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Mission

With the visual data collection project from Bosch, we are beginning to gather the road traffic data needed as a basis for future use cases of automated driving.

For Bosch, automated driving is a key to greater road safety. A large proportion of accidents are caused by human error. Assisted and increasingly automated driving functions can help make road traffic safer, but also more efficient. They relieve drivers of tiring tasks and support them in critical situations.

Project overview

Who is involved?

Bosch is working closely with installation partners and partner fleets on the visual data collection project. In order to reduce additional CO2 emissions to a minimum, Bosch is partnering with existing fleets whose vehicles are already on the road.

What do we want?

Generate image data from road traffic (e.g., traffic situations, signs, critical events).

How do we achieve this?

Fleet vehicles are equipped with a windshield camera system (12V connector, 4G cellular communications technology, reversible).

Where do we collect traffic image data?

Worldwide
The more diverse the routes, the better

Why do we need traffic image data?

We are building a database for training AI image processing algorithms. With this database, we can further develop automated driving with the following goals:

Reduce accidents
Increase safety
Optimize traffic

Benefits for all road users

Traffic optimization | Driver assistance | Reduction of fatal accidents

The technology behind automated driving offers a variety of benefits – for all road users. Improving the reliability and speed of this AI-based technology is one of the biggest challenges currently faced by OEMs and suppliers. Therefore, the AI algorithms must be trained using real road traffic data so that they respond reliably, especially in critical situations.