Russia: AVP Technology (part of TMH Smart Systems) has installed the obstacle detection system on a 3TE28 diesel loco running Russian Railways’ Baikal-Amur Mainline. Trials ran from Tynda-Severnaya servicing depot, under LocoTech.
The system comprises computer vision cameras that scan the space ahead of the train, assessing track clearance, structure gauge compliance, and overall infrastructure condition. It operates 24/7 and detects hazards even in heavy snow, giving the driver timely warnings of obstacles.
TMH Smart Systems told ROLLINGSTOCK the technology performed excellently in extreme low temperatures (-40–50 °C), though this required housing the sensors inside the driver’s cab with a pre-heat procedure.
The company declined to disclose the obstacle detection range on the 3TE28, but noted it varies by configuration. No false positive measurements were taken during trials, as other objectives took priority, according to the company. Developers expect lower false alarms in taiga conditions due to sparse infrastructure, few level crossings, and reduced human factors. Since 2022, functionality has been significantly expanded, including track clearance monitoring for snow drift.
Video of trialling obstacle detection system on mainline diesel locomotive. Source: TMH
The technology’s key prospect is integration into a comprehensive solution combining virtual coupling, computer vision, and safety systems. “This integration would enable platooning of trains with automatic leader loco reallocation in case of failure, plus energy-efficient train handling within a single process,” TMH Smart Systems states.
Overall, TMH Smart Systems work is on track with prior announcements: GoA3 readiness for mainline equipment was targeted for 2026. The company’s onboard computer vision system has previously been trialled on shunting locomotives and EMUs, and is now in trial operation with Movista Group on a tram in Verkhnyaya Pyshma.
