Wayve uye End-to-End-Ekupedzisira Driving Models
Wayve ikambani yeUK inovaka masisitimu ekuzvityaira ane imwechete yakadzidza neural network inomepu mapikseli ekamera zvakananga kune zvidhiraivho zvekutyaira - hapana mitemo yakadzorwa nemaoko kana mamepu eHD.
Pfupiso
It matters because this end-to-end approach promises cars that generalize to new cities without expensive remapping.
Kudzika Kwakadzika
Yakavambwa muCambridge muna 2017, Wayve inoramba iyo yechinyakare yekuzvityaira yekubika yemamodule akaparadzana ekuona, kufanotaura, uye kuronga zvakanamirwa pamwechete nekodhi yakanyorwa nemaoko. Pane kudaro, inodzidzisa imwe hombe neural network kupera-kusvika-kumagumo: vhidhiyo kubva kumakamera asingadhure inopinda mukati, kutungamira uye kukurumidza kunobuda, yakadzidzwa kubva mukuratidzira kwekutyaira kwevanhu. Wayve nemukurumbira inodzivirira inodhura LiDAR uye pre-yakavakwa HD mepu, kubheja kuti kudzidza kunogadzirisa maitiro anoita vatyairi vevanhu. Yayo GAIA-1 uye gare gare GAIA-2 mamodheru epasirese anoteedzera echokwadi kutyaira vhidhiyo kudzidzisa uye kuyedza mutemo. Muna 2024 Wayve yakakwidza mari inopfuura bhiriyoni imwe yemadhora inotungamirwa neSoftBank, Nvidia, uye Microsoft, uye yakaedza mota mumaguta mazhinji eUK ndokutanga kuwedzera kuUS neJapan.
Technical Insight
Kupera-kusvika-kumagumo kudzidza kunotsiva modular mapaipi netiweki inopatsanurika yakadzidziswa nekutevedzera kudzidza pakutyaira kwevanhu, kazhinji inonatswa nekusimbisa kudzidza. Mamodheru epasirese eWayve akaita seGAIA-2 mamodheru evhidhiyo anofanotaura mafaera eramangwana akamisikidzwa pane zviito, zvichiita kuti timu ibudise zvisingawanzoitiki (jaywalkers, fog) zvakachipa mukuenzanisa. Rutivi rwepafiripi rwunodudzira: imwe bhokisi dema mutemo wakaoma kugadzirisa uye kupa certificate pane pombi apo imwe neimwe module inogona kuongororwa.
Strategic Impact
Vendor strategy
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mutengo uye bhajeti
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Ngozi uye kuchengeteka
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Ramangwana reWayve uye End-to-End-End Driving Models
Wayve iri kupa marezenisi ayo 'akamisikidzwa AI' sesoftware kune vanogadzira mota pane kuvaka yavo robotaxis, ichivavarira kutumira mutyairi-rubatsiro uye pakupedzisira kuzvitonga pamhando dzakawanda dzemotokari. Tarisira kubatanidzwa kwakasimba nenheyo-modhiyo nzira, yakakura multimodal nyika modhi, uye kusunda kuratidza kuti kamera-yekutanga, isina mepu masisitimu anogona kuenderana nemepu-inorema makwikwi pakuchengetedza. Kugamuchirwa kwemitemo yeakadzidza, isingatsananguriki masisitimu inoramba iri chipingamupinyi chikuru.
Real-World Implementation
Mepu-isina kutyaira mudhorobha mumaguta asina kujairika eUK uchishandisa chete kupinza kamera uye mutemo wakadzidzwa
GAIA-2 yepasirese modhi inogadzira synthetic edge-kesi vhidhiyo (mabhasikoro, mamiriro ekunze) kushushikana-kuyedza network yekutyaira.
Kupa marezenisi AV2.0 software kune vanogadzira mota saka aripo emota kamera masutu anowana yepamberi yakabatsirwa kutyaira
Fleet kudzidza uko data kubva kumota zhinji dzinofambiswa nevanhu inovandudza imwe yakagovaniswa neural kutyaira modhi
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Ramba Uchiongorora
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Gaidhi rinotevera
Wayve LINGO Driving Language Models
Mibvunzo inowanzo bvunzwa
What is Wayve and End-to-End Driving Models?
Wayve ikambani yeUK inovaka masisitimu ekuzvityaira ane imwechete yakadzidza neural network inomepu mapikseli ekamera zvakananga kune zvidhiraivho zvekutyaira - hapana mitemo yakadzorwa nemaoko kana mamepu eHD. Izvo zvine basa nekuti iyi yekupedzisira-kusvika-kumagumo nzira inovimbisa mota dzinouya kumaguta matsva pasina inodhura remaping.
Chii chinotsanangudza hunhu hweWayve yekupedzisira-kusvika-kumagumo nzira yekutyaira?
Kupera-kusvika-kumagumo kunoreva kuti imwe yakadzidzwa network inoenda kubva yakaomeswa kamera yekuisa kuenda kune yekumhanyisa uye nekumhanyisa, pane kusungirira mamodule akagadzirwa nemaoko.
Ndeipi nzira yekunzwa iyo Wayve anozivikanwa nekusimbisa?
Wayve anobheja pamakamera asingadhure uye akadzidza kugadzirwa, kudzivirira nemaune inodhura LiDAR uye pre-yakavakwa HD mepu.
Chii chinonzi GAIA-2 muWayve's stack?
GAIA-1 uye GAIA-2 mamodheru epasirese anogadzira vhidhiyo yekutyaira yechokwadi kudzidzisa uye kuyedza mutemo wekutyaira.
Wayve anoronga sei kushambadzira tekinoroji yayo?
Wayve inozvimisikidza se 'yakamisikidzwa AI' software inopa, ichipa marezinesi ehungwaru hwekutyaira kune vanogadzira mota.
Chii chakakosha dhiraivha yeimwe yekupedzisira-kusvika-kumagumo yekutyaira network?
A monolithic kudzidza mutemo ibhokisi dema, zvichiita kuti zvinyanye kuomesera kuongorora, kugadzirisa, uye kuvimbisa pane pombi ine inotarisika module inobuda.