嵌入式自主跟蹤系統(tǒng)-球童機(jī)器人

        隨著人工智能和計(jì)算機(jī)視覺技術(shù)的發(fā)展與成熟，服務(wù)型機(jī)器人已出現(xiàn)在各個(gè)領(lǐng)域。由于高爾夫獨(dú)特的運(yùn)動(dòng)方式和復(fù)雜的場(chǎng)地條件，因而對(duì)高爾夫球場(chǎng)的球童機(jī)器人研究具有一定的價(jià)值。目前，國(guó)內(nèi)外已有一些廠商推出了相應(yīng)的產(chǎn)品，這些產(chǎn)品大多應(yīng)用GPS導(dǎo)航遙控或是無(wú)線射頻控制技術(shù)，取得了一定的成功。

        本作品基于Intel雙核處理器的開發(fā)平臺(tái)，綜合運(yùn)用RF無(wú)線通信，超聲測(cè)距，計(jì)算機(jī)視覺，模式識(shí)別等技術(shù)，實(shí)現(xiàn)了機(jī)器人對(duì)運(yùn)動(dòng)目標(biāo)的識(shí)別與跟蹤。當(dāng)前，國(guó)內(nèi)外對(duì)靜止背景下的目標(biāo)跟蹤，已經(jīng)有大量的成熟的研究成果，但是對(duì)于前景和背景都是運(yùn)動(dòng)情況下的目標(biāo)跟蹤的研究還處于起步階段，尚沒有成熟的技術(shù)來(lái)解決此問題。本作品是對(duì)計(jì)算機(jī)視覺跟蹤技術(shù)的一次大膽應(yīng)用，采用多傳感器協(xié)同工作的方式，嘗試解決攝像頭運(yùn)動(dòng)情況下的目標(biāo)跟蹤，取得了不錯(cuò)的效果。

        為了充分發(fā)揮開發(fā)平臺(tái)的雙核優(yōu)勢(shì)，本作品中還加入了基于OpenMP標(biāo)準(zhǔn)的雙核多線程優(yōu)化技術(shù)，使作品的魯棒性和實(shí)時(shí)性得到了提高。另外，本作品的研究成果可以很容易地引用到其他領(lǐng)域，如智能玩具，智能監(jiān)控護(hù)理，軍事上的自動(dòng)巡邏等等。所以有理由相信，本作品具有很好的應(yīng)用前景和擴(kuò)展推廣價(jià)值。

With the development of the artificial intelligence and computer vision technology, service-oriented robots have appeared in various fields. Considering the unique sports style and complex venues condition of golf, there is great value in the research of caddie robot of golf. At present, a number of corresponding products are introduced to the world as a certain kind of success from domestic and foreign manufacturers, most of which are based on GPS navigation system or radio frequency remote control.

This robot is designed on the basis of Intel dual-core processor, integrating the technologies of RF wireless communication, ultrasonic ranging, computer vision, pattern recognition and so on, so that it can identify and track the moving objects. At present, there are a great many mature research results, in terms of object tracking which is in the static background. but the study of the moving object tracking when both foreground and background are moving is still in its initial stage, there is no mature technique to solve this problem . This work is an innovative application of the computer vision technology in object tracking area. Integrating information from multi-sensors, the robot solves the problem of tracking moving objects with moving cameras, which has achieved good results.

To take full advantage of the dual-core platform, the work adopts the technology of dual-core multi-threaded optimization based on OpenMP standards. So that the robustness and real-time of the work has been enhanced. In addition, our research results can be easily applied to other areas, such as smart toys, intelligent monitoring care, the military patrol, and so on. we are confident that the work will have a good prospect and great value for promotion.
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