Life would be easier for all if drones were smart enough to respond directly to a deckofficer s gesticulations.
若无人机的智能达到了足以直接响应甲板指挥员手势的程度,那一切都会好很多。
Making them that smart is the goal of Yale Song, a computer scientist at the MassachusettsInstitute of Technology.
让无人机具备这样的智能是麻省理工学院计算机科学家Yale Song的目标。
He is not there yet but,
这个目标虽尚未达成,
as he reports in ACM Transactions on Interactive Intelligent Systems,
不过正如他在《美国计算机学会交互式智能系统学报》所报告的,
he and his colleagues David Demirdjian and Randall Davis have developed a promisingprototype.
他和他的同事David Demirdjian和Randall Davis已开发了一个很有前景的原型系统。
To try teaching drones the language of hand signals Mr Song and his colleagues made a seriesof videos in which various deck officers performed to camera a set of 24 commonly usedgestures.
为了让无人机读懂手语,Yale Song和他的同事制作了一系列视频,视频记录了多位甲板指挥员对着摄象机摆出的24个常用手势。
They then fed these videos into an algorithm of their own devising that was designed toanalyse the position and movement of a human body, and told the algorithm what eachgesture represented.
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