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Knorr-Bremse and Israeli startup Rail Vision will equip multiple SBB Cargo shunting locomotives with Rail Vision’s Assisted Remote Shunting system for obstacle detection.
After prototype testing is successfully completed at the end of the first quarter of 2021, the partners will be looking into addressing additional business activities to adopt obstacle detection systems for cargo vehicles.
Based on electro-optic sensors, artificial intelligence and deep learning capabilities, Rail Vision’s systems are expected to make shunting processes of cargo vehicles more efficient. Detecting obstacles and interfacing with the Remote Control from Schweizer Electronic, the prototype system can enable a single person to control shunting from a remote location. Today, by contrast, shunting generally takes two people: a locomotive driver and a signaler, who notifies of any possible obstacles and the remaining distance to other vehicles to the driver via radio from outside. The innovation comes at a crucial time, as several operators are expecting staffing crunches in the medium-term.
Rail Vision obstacle detection and classification. Credit: Rail Vision
Dr. Nicolas Lange, Chairman of the Management Board of Knorr-Bremse Rail Vehicle Systems, said: “We are very happy to jointly enter the crucial testing phase of Rail Vision’s obstacle detection systems on SBB Cargo’s locomotives. These systems offer a promising avenue to further support operators in managing their fleets, and they are a building block in realising the future scenario of automatic train operation.”
Andreas Hefti, Managing Director at Knorr-Bremse Switzerland, said: “As several cargo operators are anticipating personnel shortages in the coming years, Rail Vision’s products can contribute to increasing operational efficiency after a more widespread rollout.”
Elen Katz, CEO of Rail Vision, said: “Rail Vision is proud to jointly execute this project with our partner Knorr-Bremse Switzerland and in cooperation with Schweizer Electronic. SBB Cargo is widely regarded as a pioneer when it comes to innovation in the railway industry. We are excited to introduce our unique application with our partners to the train industry. Rail Vision’s Assisted Remote Shunting system will improve safety and contribute to unobstructed one-man control in everyday operations.”
Rail Vision’s Shunting Yard System uses advanced electro-optic sensors combined with artificial intelligence and deep learning technologies to detect and classify obstacles on and along rail tracks, providing both drivers and remote operators with critical real-time alerts. The system monitors switches and recognises signals and paths up to 200 meters ahead. Once an obstacle is detected, the system analyses and classifies it. When warning is needed, it sends both visual and acoustic alerts to the driver, and optionally also to the Command & Control Centre.
Knorr-Bremse and Rail Vision have been partners in the realm of obstacle detection technology for rail vehicles since March 2019, when Knorr-Bremse acquired a 21.3 per cent share in the Israeli startup. With its $10 million strategic investment, Knorr-Bremse took another step on its way to support innovative systems for automated driving in the railway sector.
This article first appeared on www.globalrailwayreview.com
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