As part of an inno\u00adv\u00ada\u00adtive devel\u00adop\u00adment project, a dri\u00adver assis\u00adtance sys\u00adtem specif\u00adi\u00adcal\u00adly tai\u00adlored to e\u2011bikes, e\u2011scooters, and oth\u00ader elec\u00adtri\u00adcal\u00adly pow\u00adered micro\u00admo\u00adbil\u00adi\u00adty vehi\u00adcles was developed\u2014with the clear goal of sig\u00adnif\u00adi\u00adcant\u00adly improv\u00ading safe\u00adty in urban areas.<\/p>\n\n
At its tech\u00adno\u00adlog\u00adi\u00adcal core is a high-per\u00adfor\u00admance cam\u00adera sys\u00adtem designed for object detec\u00adtion and track\u00ading. Com\u00adbined with sig\u00adnal pro\u00adcess\u00ading opti\u00admized specif\u00adi\u00adcal\u00adly for micro\u00admo\u00adbil\u00adi\u00adty and intel\u00adli\u00adgent algo\u00adrithms, the sys\u00adtem enables fea\u00adtures such as lane-keep\u00ading detec\u00adtion and col\u00adli\u00adsion detec\u00adtion with oth\u00ader road users or oth\u00ader hazards.<\/p>\n\n
The par\u00adtic\u00adu\u00adlar chal\u00adlenge was to imple\u00adment object recog\u00adni\u00adtion in a resource-effi\u00adcient man\u00adner and in real time on com\u00adpact hard\u00adware. This involves the use of both tra\u00addi\u00adtion\u00adal image pro\u00adcess\u00ading meth\u00adods and AI-based approach\u00ades, tai\u00adlored to ener\u00adgy-effi\u00adcient embed\u00added sys\u00adtems. Our strength lies in opti\u00admiz\u00ading com\u00adplex algo\u00adrithms for reli\u00adable oper\u00ada\u00adtion on resource-con\u00adstrained hard\u00adware, as well as in tak\u00ading a holis\u00adtic view of hard\u00adware and soft\u00adware as an inte\u00adgrat\u00aded system.<\/p>\n\n
The result is a tech\u00adni\u00adcal\u00adly val\u00adi\u00addat\u00aded and ful\u00adly func\u00adtion\u00adal demon\u00adstra\u00adtor that impres\u00adsive\u00adly demon\u00adstrates the poten\u00adtial of intel\u00adli\u00adgent dri\u00adver assis\u00adtance in micro\u00admo\u00adbil\u00adi\u00adty. This show\u00adcas\u00ades our abil\u00adi\u00adty to trans\u00adlate inno\u00adv\u00ada\u00adtive research approach\u00ades into robust, prac\u00adti\u00adcal, and scal\u00adable sys\u00adtem solu\u00adtions. For the next devel\u00adop\u00adment step\u2014toward prod\u00aduct matu\u00adri\u00adty and mar\u00adket access\u2014the right strate\u00adgic frame\u00adwork and part\u00adner\u00adships are now crucial.<\/p>\n\n
The project was fund\u00aded under the Cen\u00adtral Inno\u00adva\u00adtion Pro\u00adgram for SMEs (ZIM) of the Fed\u00ader\u00adal Min\u00adistry for Eco\u00adnom\u00adic Affairs and Cli\u00admate Action. Our devel\u00adop\u00adment part\u00adner was the West Sax\u00adon Uni\u00adver\u00adsi\u00adty of Applied Sci\u00adences in Zwick\u00adau, Depart\u00adment of Main\u00adte\u00adnance and Acci\u00addent Analysis.<\/p>\n\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
As part of an inno\u00adv\u00ada\u00adtive devel\u00adop\u00adment project uti\u00adliz\u00ading AI, a dri\u00adver assis\u00adtance sys\u00adtem specif\u00adi\u00adcal\u00adly tai\u00adlored to e\u2011bikes, e\u2011scooters, and oth\u00ader elec\u00adtri\u00adcal\u00adly pow\u00adered micro\u00admo\u00adbil\u00adi\u00adty vehi\u00adcles was developed\u2014with the clear goal of sig\u00adnif\u00adi\u00adcant\u00adly improv\u00ading safe\u00adty in urban areas.<\/p>\n","protected":false},"author":2,"featured_media":3607,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"wp_typography_post_enhancements_disabled":false,"footnotes":""},"categories":[190,191,96],"tags":[196,192,193,197],"class_list":["post-3630","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-embedded-applications","category-products","category-rde-general","tag-ai-2","tag-ai","tag-artificial-intelligence","tag-artificial-intelligence-2","entry"],"acf":[],"yoast_head":"\n