Amamodeli Wokushayela we-Wayve kanye ne-End-to-End

I-Wayve yinkampani yase-UK eyakha amasistimu okuzishayela enenethiwekhi eyodwa efundiwe ye-neural ebeka amaphikseli ekhamera ngokuqondile kuzilawuli zokushayela — ayikho imithetho enekhodi ngesandla noma amamephu e-HD. Kubalulekile ngoba le ndlela yokuphela konyaka ithembisa izimoto ezifika emadolobheni amasha ngaphandle kokulungiswa kabusha okumba eqolo. I-Wayve kanye ne-End-to-End Driving Models iqondwa kangcono kumongo wesu, ukufinyelela kwemodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem. Ukuze wakhe ukuqonda okujulile, phatha Amamodeli Wokushayela we-Wayve kanye ne-End-to-End njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.

Empeleni, amaqembu aqinile asebenzisa i-Wayve kanye ne-End-to-End Driving Models ahlola isu lomthengisi, ukwethembeka kwemephu yomgwaqo, kanye nobungozi bokukhiya ngaphambi kokwenza lokho. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.

Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo. Ngesikhathi esifanayo, izimemezelo Zokuqalisa zingase zidlule ukuzinza ekusebenzeni kwangempela kokukhiqiza. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.