Makambani GUIDE

Waymo Autonomous Driving Stack

Waymo, akaberekwa kubva kuGoogle's 2009 self-driving project, anofambisa basa rerobhoti revanhu vakuru risingatyairi muUnited States.

Overview

Waymo, akaberekwa kubva kuGoogle's 2009 self-driving project, anofambisa basa rerobhoti revanhu vakuru risingatyairi muUnited States. Yayo modular, sensor-rich stack zvine basa nekuti ndiyo inotungamira chaiyo-yepasirese humbowo hwekuti Level 4 kuzvitonga kunogona kushanda kutengeserana pachiyero.

Waymo Autonomous Driving Stack inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.

Deep Dive

Waymo akabuda muchirongwa che Google chemota dzinozvityaira uye ave kushandisa Waymo One robhoti sevhisi isina mutyairi anochengetedza vanhu mumaguta anosanganisira Phoenix, San Francisco, Los Angeles, neAustin. Yayo 'Waymo Driver' inosanganisa yakarebesa sensor suite - LiDAR, makamera, uye radar - ine yakadzama-yakavakirwa HD mepu uye modular software stack inovhara maonero, kufanotaura, kuronga, uye kutonga. Kusiyana nemabheti ekhamera-chete, Waymo inotsamira pane inopindirana masensa kuitira kuchengetedza redundancy uye yakakwirira-chaiyo mepu dzenzvimbo. Pakasvika pakati pema2020s yakapfuura makumi emamiriyoni ekuzvimiririra zvizere, yakabhadharwa mamaira uye inoburitsa data yekuchengetedza inoratidza kushomeka kwekukuvara kunokonzeresa kupfuura vatyairi vevanhu pamusoro pemadaro akaenzana, kunyangwe ichishanda mukati menzvimbo dzakakomberedzwa.

Technical Insight

Waymo inosanganisa kudzika kweLiDAR, kamera semantics, uye radar velocity kuita yakabatana inomiririra chiitiko, obva afanotaura mafambiro emangwana emumiririri ari pedyo murongi asati asarudza nzira yakachengeteka. Mamepu eHD anoburitsa mugwagwa geometry uye mitemo yetraffic kuitira kuti sisitimu itarise komputa pazvinhu zvine simba. Redundancy iri pakati: kana sensor imwe ichidzikisira, vamwe vanoifukidza. Modularity inoita kuti nhanho yega yega iedze uye inotsanangurika, kurerutsa kusimbiswa uye kuongororwa kwechiitiko.

Mastering Waymo Autonomous Driving Stack

Waymo, akaberekwa kubva kuGoogle's 2009 self-driving project, anofambisa basa rerobhoti revanhu vakuru risingatyairi muUnited States. Yayo modular, sensor-rich stack zvine basa nekuti ndiyo inotungamira chaiyo-yepasirese humbowo hwekuti Level 4 kuzvitonga kunogona kushanda kutengeserana pachiyero. Waymo Autonomous Driving Stack inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, tora Waymo Autonomous Driving Stack semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.

Mukuita, zvikwata zvakasimba zvinoshandisa Waymo Autonomous Driving Stack inoongorora zano revatengesi, kuvimbika kwemepu yemugwagwa, uye njodzi yekuvhara isati yaita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.

Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Panguva imwecheteyo, zviziviso zveLaunch zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.

Strategic Impact

Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.

Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.

Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.

Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Ramangwana reWaymo Autonomous Driving Stack

Waymo iri kuwedzera guta neguta, kuwedzera kutyaira kwemahara uye kuongorora nhandare dzendege nemigwagwa mikuru, uku ichidyidzana pamotokari dzakavakwa nechinangwa (semuenzaniso, neZeekr) nemapuratifomu erideshare. Dambudziko repakati nderekuyera kupfuura geofenced, nzvimbo dzine mepu zvakanaka mune zvehupfumi - kutyaira pasi sensor uye mutengo wemepu uchichengeta rekodhi yayo yakasimba yekuchengetedza. Tarisira kukura zvishoma nezvishoma kwenzvimbo kwete kuburitswa munyika kamwe kamwe.

Real-World Implementation

Yakazara isina mutyairi Waymo Imwe marobhoti anotasva akabhukidzwa kuburikidza neapp muPhoenix neSan Francisco

Multi-sensor fusion yeLiDAR, radar, uye makamera kuona vanofamba netsoka mumhute kana murima.

HD-mepu yenzvimbo inonongedza mota mukati memasendimita pamharadzano dzakaoma

Yakatsikiswa bhenji yekumisikidza ichienzanisa mareti ekuparara kweWaymo nemamaira anotyairwa nevanhu mumaguta mamwe chete

Maitiro Ekuita

Waymo Autonomous Driving Stack mukuita

Yakazara isina mutyairi Waymo Imwe marobhoti anotasva akabhukidzwa kuburikidza neapp muPhoenix neSan Francisco.

Yakazara isina mutyairi Waymo Imwe robhoti inokwira yakabhukidzwa kuburikidza neapp muPhoenix neSan Francisco Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.

Waymo Autonomous Driving Stack mukuita

Multi-sensor fusion yeLiDAR, radar, uye makamera kuona vanofamba netsoka mumhute kana murima.

Multi-sensor fusion yeLiDAR, radar, uye makamera ekuona vanofamba netsoka mumhute kana murima Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.

Waymo Autonomous Driving Stack mukuita

HD-mepu yenzvimbo inonongedza mota mukati memasendimita pamharadzano dzakaoma.

HD-mepu yenzvimbo inonongedza mota mukati memasendimita pamharadzano dzakaoma Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.

Waymo Autonomous Driving Stack mukuita

Yakatsikiswa bhenji yekumisikidza ichienzanisa mareti ekuparara kweWaymo nemamaira anotyairwa nevanhu mumaguta mamwe chete.

Yakatsikiswa bhenji yekumisikidza ichienzanisa mareti ekuparara kweWaymo kune mamaira anotyairwa nevanhu mumaguta mamwe chete Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.

Njodzi & Guardrails

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Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.

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Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.

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Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.

Implementation Roadmap

1

Ongorora vanopa uchishandisa ako ega mabasa uye dataset.

Ongorora vanopa uchishandisa ako ega mabasa uye dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

2

Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.

Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

3

Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.

Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

4

Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.

Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

Ramba Uchiongorora