{"id":14630,"date":"2015-10-29T23:24:57","date_gmt":"2015-10-29T21:24:57","guid":{"rendered":"http:\/\/mixmotor.eu\/?p=14630"},"modified":"2015-10-29T23:24:57","modified_gmt":"2015-10-29T21:24:57","slug":"prelom-ucinnosti-asistencnych-systemov-vodica","status":"publish","type":"post","link":"https:\/\/mixmotor.eu\/en\/14630\/prelom-ucinnosti-asistencnych-systemov-vodica","title":{"rendered":"Prelom v \u00fa\u010dinnosti asisten\u010dn\u00fdch syst\u00e9mov vodi\u010da"},"content":{"rendered":"

Kri\u017euj\u00faca doprava, cyklisti, kri\u017euj\u00faci chodci, mo\u017eno s pozornos\u0165ou zameranou na svoj smartf\u00f3n, matky s buginou, hraj\u00face sa deti \u2013 prev\u00e1dzka v meste vy\u017eaduje v mno\u017estve situ\u00e1ci\u00ed pozornos\u0165 a \u00fasudok vodi\u010da a skr\u00fdva nebezpe\u010denstv\u00e1 nehody.<\/p>\n

Dostatok priestoru pre asisten\u010dn\u00e9 syst\u00e9my, ktor\u00e9 podporuj\u00fa vodi\u010da, zvy\u0161uj\u00fa bezpe\u010dnos\u0165 a zni\u017euj\u00fa stres po\u010das jazdy v mestskom prostred\u00ed. Vedcom spolo\u010dnosti Daimler AG sa na tejto ceste v r\u00e1mci v\u00fdskumnej iniciat\u00edvy UR:BAN podaril prelom. Syst\u00e9m na b\u00e1ze kamery pomocou takzvan\u00e9ho \u201e\u0161t\u00edtkovania sc\u00e9n\u201c (scene labelling) automaticky klasifikuje \u00faplne nezn\u00e1me situ\u00e1cie a deteguje tak v\u0161etky objekty d\u00f4le\u017eit\u00e9 pre asisten\u010dn\u00fd syst\u00e9m pre vodi\u010da \u2013 od cyklistu cez chodca a\u017e po voz\u00ed\u010dkara. Vedci oddelenia \u201eSn\u00edmanie okolia\u201c (Environment Sensing) cielene uk\u00e1zali svojmu syst\u00e9mu tis\u00edce fotografi\u00ed rozli\u010dn\u00fdch nemeck\u00fdch miest, v ktor\u00fdch manu\u00e1lne podrobne ozna\u010dili 25 rozli\u010dn\u00fdch tried objektov ako vozidl\u00e1, cyklisti, chodci, cesta, chodn\u00edk, budova, st\u013apy alebo stromy. Na z\u00e1klade t\u00fdchto pr\u00edkladov sa syst\u00e9m nau\u010dil automaticky klasifikova\u0165 \u00faplne nezn\u00e1me obrazy a rozpozn\u00e1va\u0165 tak v\u0161etky objekty d\u00f4le\u017eit\u00e9 pre asisten\u010dn\u00fd syst\u00e9m pre vodi\u010da, a to aj pri zna\u010dnom prekryt\u00ed a vo ve\u013ek\u00fdch vzdialenostiach. Umo\u017e\u0148uj\u00fa to v\u00fdkonn\u00e9 po\u010d\u00edta\u010de, ktor\u00e9 s\u00fa podobne ako \u013eudsk\u00fd mozog umelo neuron\u00e1lne posp\u00e1jan\u00e9 do siete, takzvan\u00e9 hlbok\u00e9 neur\u00f3nov\u00e9 siete (Deep Neural Networks).<\/p>\n

\"Assistenzsysteme<\/p>\n

Syst\u00e9m tak funguje podobne ako \u013eudsk\u00fd zrak. Aj ten je zalo\u017een\u00fd na ve\u013emi komplexnom neuron\u00e1lnom syst\u00e9me, ktor\u00fd inform\u00e1cie jednotliv\u00fdch sn\u00edmac\u00edch buniek na sietnici sp\u00e1ja dovtedy, a\u017e \u010dlovek dok\u00e1\u017ee rozpozna\u0165 a rozl\u00ed\u0161i\u0165 takmer neobmedzen\u00fd po\u010det objektov. Ozna\u010dovan\u00edm sc\u00e9n sa z kamery st\u00e1va namiesto \u010disto meracieho syst\u00e9mu syst\u00e9m rozumej\u00faci, tak v\u0161estrann\u00fd ako s\u00fahra oka a mozgu. Prof. Ralf Guido Herrtwich, ved\u00faci asisten\u010dn\u00fdch syst\u00e9mov pre vodi\u010da a podvozkov\u00fdch syst\u00e9mov, v\u00fdskumu koncernu a pr\u00edpravn\u00e9ho v\u00fdvoja Daimler AG: \u201eV\u010faka v\u00fdkonu po\u010d\u00edta\u010dov, ktor\u00fd v posledn\u00fdch rokoch ohromne nar\u00e1stol, je st\u00e1le bli\u017e\u0161ie de\u0148, kedy aut\u00e1 bud\u00fa vidie\u0165 svoje okolie rovnako ako \u010dlovek a dok\u00e1\u017eu spr\u00e1vne vyhodnocova\u0165 komplexn\u00e9 situ\u00e1cie v meste.\u201c V z\u00e1ujme r\u00fdchleho napredovania Daimler spolo\u010dne s partnermi na\u010falej akt\u00edvne sk\u00fama automobily v zmysle v\u00edzie o beznehodovej jazde.<\/p>\n

Bud\u00face asisten\u010dn\u00e9 funkcie bolo mo\u017en\u00e9 za\u017ei\u0165 v testovac\u00edch vozidl\u00e1ch<\/strong><\/h3>\n

Na z\u00e1vere\u010dnom podujat\u00ed zdru\u017een\u00e9ho v\u00fdskumn\u00e9ho projektu UR:BAN, teda \u201eMestsk\u00fd priestor: Asisten\u010dn\u00e9 syst\u00e9my a zosie\u0165ovan\u00fd mana\u017ement prisp\u00f4soben\u00e9 pre pou\u017e\u00edvate\u013ea\u201c (\u201eUrbaner Raum: Benutzergerechte Assistenzsysteme und Netzmanagement\u201c), vedci spolo\u010dnosti Daimler prostredn\u00edctvom piatich rozli\u010dn\u00fdch sk\u00fa\u0161obn\u00fdch vozidiel predviedli presved\u010div\u00e9 v\u00fdsledky. Okrem prezent\u00e1cie ozna\u010dovania sc\u00e9n v re\u00e1lnom \u010dase \u010fal\u0161ie testovacie vozidlo predviedlo radarov\u00e9 syst\u00e9my vytv\u00e1raj\u00face obraz a ich nov\u00e9, fascinuj\u00face mo\u017enosti v mestskom prostred\u00ed. Bolo predveden\u00e9, \u017ee radarov\u00e1 senzorika dok\u00e1\u017ee medzi\u010dasom komplexne zaznamena\u0165 a zvidite\u013eni\u0165 nielen v\u0161etky dynamick\u00e9 objekty, ale aj \u013eubovo\u013en\u00e9 statick\u00e9 prostredie. V\u010faka osobitn\u00fdm vlastnostiam radarovej vlny funguje toto rie\u0161enie aj v hmle a pri nepriazniv\u00fdch poveternostn\u00fdch podmienkach. Okrem toho dok\u00e1\u017ee pomocou takzvan\u00e9ho mikrodopplera jednozna\u010dne vyhodnoti\u0165 signat\u00faru pohybuj\u00facich sa chodcov a cyklistov. V hale v\u00fdstavy bolo tie\u017e predstaven\u00e9, ako vytvoria \u00fadaje z radarov a kamier v\u010faka f\u00fazii sn\u00edma\u010dov model okolia. Model zoh\u013ead\u0148uje nielen miesta a r\u00fdchlosti rozli\u010dn\u00fdch \u00fa\u010dastn\u00edkov cestnej prem\u00e1vky, ale aj vlastnosti ako druh a posun objektov. Do modelu okolia vozidla vstupuj\u00fa aj ne\u00fapln\u00e9 \u00fadaje sn\u00edma\u010dov a ch\u00fdbaj\u00face inform\u00e1cie, ak\u00e9 sa v re\u00e1lnej prem\u00e1vke \u010dasto vyskytuj\u00fa.<\/p>\n

\"Assistenzsysteme<\/p>\n

V tre\u0165om sk\u00fa\u0161obnom vozidle bol zabudovan\u00fd syst\u00e9m na detekciu, klasifik\u00e1ciu a rozpoznanie z\u00e1meru chodcov a cyklistov. Tento syst\u00e9m rovnako ako \u013eudsk\u00fd vodi\u010d na z\u00e1klade dr\u017eania hlavy, postavenia tela a poz\u00edcie na kraji cesty predv\u00edda, \u010di chodec ostane st\u00e1\u0165 na chodn\u00edku alebo prejde cez cestu. V\u010faka tomu mo\u017eno v nebezpe\u010dnej situ\u00e1cii spusti\u0165 reakciu syst\u00e9mu na zabr\u00e1nenie nehody a\u017e o jednu sekundu\u00a0 \u2013 sk\u00f4r ako u syst\u00e9mov, ktor\u00e9 s\u00fa aktu\u00e1lne na trhu.<\/p>\n

Ako \u010fal\u0161\u00ed zlat\u00fd bod programu bolo predveden\u00e9, ako syst\u00e9my na b\u00e1ze radaru a kamery dok\u00e1\u017eu zv\u00fd\u0161i\u0165 bezpe\u010dnos\u0165 a komfort pri zmene jazdn\u00e9ho pruhu v mestskej prem\u00e1vke. T\u00e1to asisten\u010dn\u00e1 funkcia umo\u017e\u0148uje asistovan\u00fd prechod do ved\u013eaj\u0161ieho jazdn\u00e9ho pruhu v rozsahu r\u00fdchlost\u00ed 30 a\u017e 60 km\/h, ktor\u00fd si vodi\u010d m\u00f4\u017ee vyvola\u0165 pomocou ovl\u00e1dacieho prvku. Syst\u00e9m sn\u00edma okolie a prem\u00e1vku v jazdn\u00fdch pruhoch. Anal\u00fdza situ\u00e1cie poskytne odhad v\u00fdvoja scen\u00e1ra a n\u00e1sledne povol\u00ed vypo\u010d\u00edtan\u00fa krivku dr\u00e1hy. Potom sa vykon\u00e1 podporn\u00e9 vedenie vozidla v pozd\u013a\u017enom a prie\u010dnom smere s cie\u013eom zmeny jazdn\u00e9ho pruhu. Inform\u00e1ciu o tom, \u010di syst\u00e9m m\u00f4\u017ee alebo nem\u00f4\u017ee vykona\u0165 zam\u00fd\u0161\u013ean\u00fa zmenu jazdn\u00e9ho pruhu, vodi\u010d intuit\u00edvne zist\u00ed v zdru\u017eenom pr\u00edstroji. Po \u00faspe\u0161ne dokon\u010denej zmene jazdn\u00e9ho pruhu pokra\u010duje pozd\u013a\u017ena regul\u00e1cia s funkciou udr\u017eiavania vozidla v jazdnom pruhu. Vodi\u010d m\u00e1 pritom kedyko\u013evek mo\u017enos\u0165 prevzia\u0165 kontrolu nad syst\u00e9mom pohybom volantu \u010di z\u00e1sahom plynov\u00e9ho alebo brzdov\u00e9ho ped\u00e1lu.<\/p>\n

Potenci\u00e1l odhadu spr\u00e1vania vodi\u010da pre pl\u00e1novan\u00fa zmenu jazdn\u00e9ho pruhu alebo odbo\u010denie bolo mo\u017en\u00e9 za\u017ei\u0165 v piatom sk\u00fa\u0161obnom vozidle. Pri nast\u00e1vaj\u00facej zmene jazdn\u00e9ho pruhu sa napr\u00edklad \u00fadaje o poh\u013eade vodi\u010da ponad plece spoja so zosn\u00edman\u00fdmi jazdn\u00fdmi parametrami. O\u010dak\u00e1van\u00fd proces odbo\u010denia mo\u017eno predv\u00edda\u0165 na z\u00e1klade s\u00fahry pohybov volantom, zn\u00ed\u017eenia r\u00fdchlosti a kartografick\u00fdch inform\u00e1ci\u00ed. Syst\u00e9m po\u010das prezent\u00e1cie zaka\u017ed\u00fdm automaticky zapol smerovku a zav\u010dasu tak informoval okolie.<\/p>\n

Zdroj+foto: Daimler, A.G.<\/p>\n","protected":false},"excerpt":{"rendered":"

Kri\u017euj\u00faca doprava, cyklisti, kri\u017euj\u00faci chodci, mo\u017eno s pozornos\u0165ou zameranou na svoj smartf\u00f3n, matky s buginou, hraj\u00face sa deti \u2013 prev\u00e1dzka v meste vy\u017eaduje v mno\u017estve situ\u00e1ci\u00ed pozornos\u0165 a \u00fasudok vodi\u010da a skr\u00fdva nebezpe\u010denstv\u00e1 nehody. Dostatok priestoru pre asisten\u010dn\u00e9 syst\u00e9my, ktor\u00e9 podporuj\u00fa vodi\u010da, zvy\u0161uj\u00fa bezpe\u010dnos\u0165 a zni\u017euj\u00fa stres po\u010das jazdy v mestskom prostred\u00ed. Vedcom spolo\u010dnosti Daimler […]<\/p>\n","protected":false},"author":1,"featured_media":14631,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[4,11],"tags":[311,771,536,313,676,1511,702],"class_list":["post-14630","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dokumentarne","category-mercedes","tag-asistent","tag-bezpecnost","tag-daimler","tag-kamera","tag-mercedes-benz","tag-mesto","tag-urban"],"translation":{"provider":"WPGlobus","version":"3.0.0","language":"en","enabled_languages":["sk","en","de"],"languages":{"sk":{"title":true,"content":true,"excerpt":false},"en":{"title":false,"content":false,"excerpt":false},"de":{"title":false,"content":false,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/mixmotor.eu\/en\/wp-json\/wp\/v2\/posts\/14630","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mixmotor.eu\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mixmotor.eu\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mixmotor.eu\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mixmotor.eu\/en\/wp-json\/wp\/v2\/comments?post=14630"}],"version-history":[{"count":2,"href":"https:\/\/mixmotor.eu\/en\/wp-json\/wp\/v2\/posts\/14630\/revisions"}],"predecessor-version":[{"id":14634,"href":"https:\/\/mixmotor.eu\/en\/wp-json\/wp\/v2\/posts\/14630\/revisions\/14634"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mixmotor.eu\/en\/wp-json\/wp\/v2\/media\/14631"}],"wp:attachment":[{"href":"https:\/\/mixmotor.eu\/en\/wp-json\/wp\/v2\/media?parent=14630"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mixmotor.eu\/en\/wp-json\/wp\/v2\/categories?post=14630"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mixmotor.eu\/en\/wp-json\/wp\/v2\/tags?post=14630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}