深部危険トンネルにおけるUAVの距離計測
Distance Measurement for UAVs in Deep Hazardous Tunnels
GPSやWiFiが使えない深部トンネル内でUAVを自己位置推定させるため、予測を組み込んだ改良型オプティカルフローによる距離計測モジュールを開発した。
著者: Vishal Choudhary, Shashi Kant Gupta, Shaohui Foong, Hock Beng Lim
分類: cs.RO
原文アブストラクト
The localization of Unmanned aerial vehicles (UAVs) in deep tunnels is extremely challenging due to their inaccessibility and hazardous environment. Conventional outdoor localization techniques (such as using GPS) and indoor localization techniques (such as those based on WiFi, Infrared (IR), Ultra-Wideband, etc.) do not work in deep tunnels. We are developing a UAV-based system for the inspection of defects in the Deep Tunnel Sewerage System (DTSS) in Singapore. To enable the UAV localization in the DTSS, we have developed a distance measurement module based on the optical flow technique. However, the standard optical flow technique does not work well in tunnels with poor lighting and a lack of features. Thus, we have developed an enhanced optical flow algorithm with prediction, to improve the distance measurement for UAVs in deep hazardous tunnels.
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