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Vision-Based Object Detection and Localization for Autonomous Airborne Payload Delivery

机译:基于视觉的物体检测和本地化自主空气载荷交付

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This paper follows the development of a vision-based object detection and localization system for implementation in an autonomous aircraft for payload delivery. Application of such a system could see use in the delivery of packages to offshore freighter ships and inaccessible inland areas. This system was developed in a modular fashion, such that it could be interchanged and adapted between various airframes. This system comprised of three core elements, namely autonomous flight control, vision-based object detection and localization and, payload release and delivery modelling. The final integrated system was tested and able to achieve fully autonomous flight, and simultaneously model a payload release trajectory from an altitude of 75 m to deliver the given payload with an average displacement of 1.8 m of the designated drop-zone. The drop-zone location was determined via the onboard vision system through the implementation of an object detection and localization algorithm.
机译:本文遵循了基于视觉的物体检测和本地化系统的发展,以实现自主飞机以进行有效载荷输送。这种系统的应用可以看到在将包裹交付到海上货船和无法进入的内陆地区。该系统以模块化方式开发,使得它可以在各种机架之间互换和适应。该系统由三个核心元素组成,即自主飞行控制,基于视觉的物体检测和定位以及有效载荷释放和交付建模。最终的集成系统经过测试并能够实现完全自主飞行,同时从75米的高度同时模拟有效载荷释放轨迹,以将给定的有效载荷提供1.8米的指定滴区域的平均位移。通过实施物体检测和定位算法,通过车载视觉系统确定滴区域位置。

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