* **Obstacle avoidance:** The UAVOS autopilot system was tested by having it navigate through a simulated obstacle course. This involved identifying and avoiding obstacles, such as trees, buildings, and other objects. * **Target tracking:** The UAVOS autopilot system was tested by having it track a moving target, such as a person or a vehicle.
This method for acquiring and processing enabled the drone to “see” and interpret its environment, allowing it to navigate autonomously without needing GNSS. “Our engineering support of this project will help our clients to leap forward in drone technology,” said Aliaksei Stratsilatau, CEO of UAVOS. “By enabling truly autonomous flight in complex environments, we are empowering businesses and organizations to leverage drones in new ways. This technology is not just about improving efficiency; it’s about fundamentally changing how we approach tasks that were once too dangerous or difficult for humans to undertake.” This press release was prepared and distributed by UAVOS.
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