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仿生撲翼飛行器的視覺感知系統研究進展

Research progress on visual perception system of bionic flapping-wing aerial vehicles

  • 摘要: 仿生撲翼飛行器是一類模仿鳥及昆蟲通過機翼主動運動產生升力和推力的飛行器。因具有飛行效率高,機動性強、隱蔽性好等優點,撲翼飛行器近年來受到越來越多的關注和研究。小型撲翼飛行器由于其精巧的結構和可操作性,能夠適應更復雜的環境,但也限制了其飛行負載能力和電池續航時間。在許多場景中,高質量和高功耗的傳感器不再適用于撲翼飛行器。自然界生物得到的信息絕大多數是通過視覺途徑獲取的。視覺作為一個獲取信息的有效途徑,在撲翼飛行器的應用中有著不可替代的作用。視覺傳感器具有質量輕、功耗低、圖像信息豐富等優點,因此非常適合于搭載在撲翼飛行器上。隨著微電子、圖像處理等技術的不斷發展,以撲翼飛行器為平臺的視覺感知系統也取得了重要進展。本文首先介紹了國內外幾款有代表性的撲翼飛行器的視覺感知系統,分為機載視覺感知系統和外部視覺感知系統兩類;然后簡述了三個系統關鍵技術即圖像消抖技術、目標檢測與識別技術、目標跟蹤技術的發展現狀,進而總結發現撲翼飛行器的視覺感知系統研究目前還處于起步階段;最后指出圖像消抖、機載實時處理、目標檢測與識別、三維重建等可以作為撲翼飛行器視覺感知系統的未來研究方向。

     

    Abstract: The bionic flapping-wing aerial vehicle (FWAV) is a kind of aerial vehicle that imitates birds and insects and generates lift and thrust forces using active wing movement. Given its advantages, such as high flight efficiency, strong maneuverability, and good imperceptibility, FWAVs have attracted considerable attention from researchers in recent years. Given its compact structure and easy operation, the small FWAV can adapt itself to complex environments. However, some restrictions are also imposed on its onboard load capacity and battery endurance time. That is, sensors with large weight and high power consumption are no longer suitable for FWAVs in many scenarios. To the best of our knowledge, most of the information obtained by organisms from nature is acquired through vision. As an efficient way to obtain information, vision plays an irreplaceable role in the application of FWAVs. Vision sensors have many advantages, such as light weight, low power consumption, and rich image information. Therefore, these sensors are suitable for FWAVs. With the development of microelectronics and image processing technologies, visual perception systems of the FWAV have also made important progress. First, this study introduces the visual perception system of several representative FWAVs at home and abroad, which can be classified into two categories, i.e., onboard and off-board visual perception systems. Then, this study briefly reviews three key technologies of the visual perception system of FWAVs, namely, image stabilization, object detection and recognition, and object tracking technologies. As a result, research on the visual perception system of FWAVs is still at the initial stage. Finally, this study provides the future research directions of the visual perception system of FWAVs, such as image stabilization, onboard real-time processing, object detection and recognition, and three-dimensional reconstruction.

     

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