Airffic InstituteAERIAL PHYSICAL AI

Aerial Physical AI Institute

I-Vision AI: indlela idrone eliqonda ngayo lokho elikubonayo

Ukubona akwanele ukuze undize. Ubuchopho budinga ukuqonda lokho okubonayo.

Impendulo emfushane: I-Vision AI yamadrone ithuthuke ngezigaba ezine: ① ukuthola izinto (detection), ② ukuzilandela (tracking), ③ ukwazi indawo yakho (SLAM, VIO), ④ ukuqonda imiyalo ngamagama (ama-foundation model). Simi emnyango wesigaba ④.

Kubuyekezwe: · Imizuzu engu-3 yokufundaIndlela esacwaninga ngayo →

Sir Airffic GoOkuningi lapha kuvela emaphepheni ocwaningo, kodwa amagama alula. Hamba nami.

Izigaba ezine zokuqonda

  1. Ukuthola: thola abantu, izimoto nezintambo zikagesi esithombeni bese udweba amabhokisi azungeze.
  2. Ukulandela: landela ukuthi into etholiwe iya kuphi ngokulandelayo.
  3. Ukuzithola: thola ukuthi uhambe kangakanani futhi waya kuphi ngokunyakaza kwesithombe kanye ne-IMU (VIO: visual-inertial odometry).
  4. 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)

Ividiyo yedrone le-AI i-Swift eshicilelwe yi-Robotics and Perception Group yeNyuvesi yaseZurich. YouTube ↗ · Akukho okulayishwa ku-YouTube uze ucindezele u-play

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.

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.