EvoCargo, currently a leader in Russian ground-based unmanned transportation, has announced an update to its autopilot algorithms. The update significantly increased scanning range and improved and expanded the ability to predict trajectories and make decisions in complex situations.
Our own R&D center is continuously improving autonomous logistics technologies, developing new algorithms and autopilot capabilities based on advanced engineering solutions. Hundreds of our trucks demonstrate their effectiveness in logistics operations every day, and each system update is created to solve real problems and improve the convenience of working with autonomous transport.
Particular attention was paid to the separation of oncoming and passing traffic flows, maneuverability, prediction of the behavior of surrounding objects, and analysis of road signs. The improved autopilot is designed to significantly bring the mass integration of unmanned transport closer to logistics processes.
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