The "Intelligent Systems" division of Transmashholding carried out the installation and trial operation of an experimental obstacle detection system on locomotive 3TE28-0009. The tests took place at the Tynda-Severnaya depot on the Baikal-Amur Mainline.
The computer-vision-based system scans the space ahead of the train: it analyzes track clearance, structure dimensions, and infrastructure condition. The cameras operate around the clock and are capable of detecting obstacles in heavy snowfall conditions — the driver receives an early warning and can make a prompt decision. The technology successfully passed testing in Far North conditions.
The test results will become the basis for developing full-fledged unmanned solutions on the BAM. In the future, machine vision is planned to be integrated with virtual coupling technology and the safety system into a single complex. Such a combination will make it possible to organize platooned train movement with automatic reassignment of the lead locomotive in the event of a failure and optimize traction energy consumption.
The BAM is one of the most technologically challenging railway arteries in the country: the extreme climate, difficult terrain, and length make it a priority testing ground for refining solutions in autonomous railway transport.
Read more materials on the topic:
- \"Eternal\" batteries for trains are being tested by Transmashholding in the Moscow Metro
- TMKh will introduce systems for detecting obstacles on the tracks in new trains
- A new machine vision system with accuracy of more than 94% was created at NGTU
