Tests of KAMAZ vehicles equipped with an autonomous control system are conducted at Magnitogorsk Iron and Steel Works. The project focuses today on validating the stability and reliability of the drone-equipped trucks under winter conditions, where frost, ice, and limited visibility present real challenges that push the system to demonstrate its capability to maintain steady performance without human intervention. The aim is to ensure that such vehicles can operate consistently in harsh climates while preserving safety, efficiency, and precision in movement across demanding terrains.
These autonomous trucks do not tire, do not make human errors, and maintain consistent decision-making regardless of temperature or weather. Their primary advantage lies in unwavering endurance and predictability, traits that translate into safer road operations, more reliable transport schedules, and the potential to reduce fatigue-related incidents on long-haul routes. The testing program is designed to quantify how the vehicle’s sensors, perception stack, and control algorithms respond to varying light levels, snow coverage, and slippery surfaces, ensuring that the autonomous system can react appropriately to complex road scenarios in real time.
“UAVs will be able to operate in particularly difficult conditions, on routine routes or on night shifts. These platforms can keep working when human drivers would face fatigue or slowed reaction times. The broader effect is clear: human resources can be redirected toward solving safer and more creative tasks, while autonomous vehicles handle repetitive, high-precision operations,” commented Viktor Shishkin, who leads the Autotransport Department within MMK PJSC. His perspective reflects a growing industry outlook that automation can complement human expertise, extending capabilities and resilience across logistics networks while maintaining strict safety standards.
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A source: Ast.Info