Sir Airffic GoOkuningi lapha kuvela emaphepheni ocwaningo, kodwa amagama alula. Hamba nami.
Izigaba ezine zokuqonda
- Ukuthola: thola abantu, izimoto nezintambo zikagesi esithombeni bese udweba amabhokisi azungeze.
- Ukulandela: landela ukuthi into etholiwe iya kuphi ngokulandelayo.
- Ukuzithola: thola ukuthi uhambe kangakanani futhi waya kuphi ngokunyakaza kwesithombe kanye ne-IMU (VIO: visual-inertial odometry).
- Ukuqonda nomyalo: qonda ukuthi “hlola ngemuva kwendlu enophahla olubomvu” bese uxhumanisa amagama nalokho okubonayo (VLM: i-AI ephatha izithombe nolimi ndawonye).
Ukundiza ngenkathi wenza imephu: i-SLAM ne-VIO
Ngasekupheleni kweminyaka yo-2000, amalabhorethri amanyuvesi aqala ukulinganisa indawo yedrone elincane ngekhamera eyodwa ne-IMU. Konke kwaqala lapho.
Izindlela ezifana ne-SVO, i-VINS-Mono ne-ORB-SLAM zashicilelwa zaba yizisekelo ezabiwe. Ucwaningo oluvulekile lwaba yizingxenye zemikhiqizo.
Amadrone okuhweba anamuhla angandiza ngaphansi kwamabhuloho nangaphakathi ngenxa yalo msebenzi oqoqekile.
Usuka phezulu, izinto zibukeka zincane futhi zigobile
I-AI eqeqeshwe ngezithombe zasemhlabathini iyahlupheka ngokubuka okusuka phezulu: abantu baba ngamachashazi futhi izimoto zishintsha ubunjalo.
Amaqoqo edatha yasemoyeni afana ne-VisDrone ne-DOTA akhiwa ukuze kuqeqeshwe i-AI eyenzelwe isibhakabhaka.
Lowo onedatha yilowo ololonga ukuthi i-AI ihlakanipha kangakanani. Lokho akushintshile nasenkathini yama-foundation model.
Sir Airffic GoUmehluko we-AI uvame ukuncika kunani ledatha yasemoyeni onayo, ngaphezu kwama-algorithm. Khumbula lokhu esahlukweni samasu.
Usuku i-AI yahlula ngalo ompetha abangabantu
Ngo-2023 idrone le-AI elibizwa ngokuthi yi-Swift, elakhiwa eNyuvesi yaseZurich, lahlula abagijimi bamadrone abangompetha bomhlaba. Lo msebenzi washicilelwa ku-Nature.
I-Swift yathola indawo yayo ngekhamera ne-IMU kuphela, futhi yafunda ukundiza nge-reinforcement learning — izijwayeza izikhathi eziningi ku-simulation.
Lokhu kwakusenkundleni engashintshi. Ukufinyelela lelo khono esibhakabhakeni sangempela, nesimo sezulu nezithiyo ezishintshayo, kusewuselelo olusavulekile.
Ukugijima kwamadrone ezingeni lompetha nge-deep reinforcement learning (UZH)
Ubufakazi: [N124]
Igagasi elilandelayo: bona, cabanga futhi wenze ngamagama
Kusukela cishe ngo-2023, amamodeli amakhulu e-AI aphatha izithombe nolimi ndawonye (ama-foundation model) aqala ukusebenza njengobuchopho bamarobhothi.
Ucwaningo lwamadrone mayelana nokulandela imiyalo ekhulunywayo ngenkathi liqonda okubonwayo (aerial vision-language navigation) luyakhula.
Amamodeli amakhulu ayasinda, futhi ukuwasebenzisa ngokushesha phakathi kwedrone kusenzima. Yingakho ama-chip — isahluko esilandelayo — kufanele afundwe ndawonye nalokhu.
Ubufakazi: [N133]
Imibuzo evame ukubuzwa
Yimiphi imisebenzi esebenzisa ukubona kwekhompyutha kwamadrone?
Ukuthola imifantu emabhulohweni nasezintanjeni zikagesi, ukuhlola impilo yezitshalo, ukuthola abantu ekuseshweni nasekutakulweni, ukuqapha ukuphepha nethrafikhi, nokuhlola izindawo zokulethwa kwempahla.
Iyini i-visual-inertial odometry (VIO)?
Indlela ehlanganisa ukunyakaza kwesithombe nezilinganiso ze-IMU zokusheshisa nokujikeleza ukuze kubalwe ukuthi idrone lihambe kangakanani. Ubuchwepheshe obuyisisekelo bokundiza ngaphandle kwe-GPS.