Knorr-Bremse acquires additional stake in Rail Vision

26 October 2020 (Last Updated October 26th, 2020 15:32)

Braking systems manufacturer Knorr-Bremse has bought an additional 19.8% stake in Israeli start-up Rail Vision in a $10m deal.

Knorr-Bremse acquires additional stake in Rail Vision
Knorr-Bremse acquires an additional 19.8% of Israeli start-up Rail Vision. Credit: © Knorr-Bremse.

Braking systems manufacturer Knorr-Bremse has bought an additional 19.8% stake in Israeli start-up Rail Vision in a $10m deal.

Following the acquisition, Knorr-Bremse now owns a 36.8% stake in Rail Vision, which specialises in sensor technology and obstacle detection based on artificial intelligence and deep learning.

Knorr-Bremse Rail Vehicle Systems management board chairman Dr Nicolas Lange said: “We are delighted to further strengthen and expand our strategic commitment to Rail Vision.

“The systems developed by Rail Vision hold great potential for numerous new applications as train operation becomes progressively more automated in the future.

“For us as a global technology leader, this makes the young company an exciting and highly attractive partner in designing mobility and transport solutions for rail.”

Since March 2019, Knorr-Bremse and Rail Vision have been partners in the development of object and obstacle detection systems for rail vehicles.

At that time, Knorr-Bremse acquired an initial stake in Rail Vision, which enabled the latter to take another key step towards system solutions for automated rail travel.

With the latest investment, the companies will continue their partnership in the development and integration of electro-optic sensor systems and classification for rail vehicles.

Rail Vision executive chairman Sam Donnerstein said: “Having Knorr-Bremse as partner gives us the opportunity not only to think big but to further develop our systems and execute our projects on a bigger worldwide scale.”

The two companies recently announced that they will equip the Swiss rail operator SBB Cargo’s shunting locomotives with remote-controlled electro-optic systems for obstacle detection.