Autonoomsete sõidukite uurimisrühm
Uurimisrühma juht
Seotud struktuuriüksus
TalTech prioriteetne teadussuund
Ülevaade
Uurimisrühma kompetentsi kuulub: (1) autonoomsete sõidukite modelleerimine ja simuleerimine; (2)3D lidari ja kaamerapõhine kaardistamine ning virtuaalse keskkonna loomine; (3) autonoomsete robotite ja sõidukite turvalisuse analüüs ja stsenaariumite genereerimine; (4) autonoomsete süsteemide kompleksse täislahenduse arendus ja uurimistöö, sh lokalisatsioon ja navigatsioon, missiooni planeerimine, sensoorika, tehisintellekt, elektromehaanika, juhtimine, simulatsioonid ja masinnägemine; (5) Tööstus 5.0.Nimetatud temaatikat rakendatakse täismõõdus isejuhtivate sõidukite, mobiilsete robotite, tööstuslike logistikarobotite ja droonide arenduses ja väljatöötluses.Olulisel kohal oli ka targa linna temaatika ja turvalisus mobiilsete robotite ning autonoomsete sõidukite valdkonnas ning fogikaksiku loomise tehnoloogiad.
Klassifikaator (Frascati)
Võtmesõna
Seotud projektid
Tähtsamad tulemused
Uurimistöö tulemusena on valminud järgmised rakendused:• Eesti esimene isejuhtiv sõiduk – ISEAUTO (https://autolab.taltech.ee/)• Logistikarobot Eesti tööstusettevõttele: (https://www.tallinnatv.eu/klipp/16369/27112019-taltechi-robot-muudab-tootmislogistika-tulevikusefektiivsemaks).2023. aasta olulisemad tulemused: • TalTech iseAuto autonoomse sõiduki uue versioon arendus ning sellega seotud doktoritööde kaitsmine. • MaaS XT tarkvaralahenduse loomine ja integreerimine isejuhtivate sõidukite ning ühistranspordi süsteemiga.• Autonoomse sõiduki suurandmete kogumise baas platvorm ja tehisintellekti meetodite rakenduslahendus.
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https://doi.org/10.1109/IEEECONF52705.2021.9467483 - Kangru, T., Riives, J., Otto, T., Kuts, V., Moor, M. Optimisation of decision-making process in industrial robot selection // Journal of the machine engineering (2020) vol. 20, 1, p. 70−81.
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https://doi.org/10.1115/IMECE2022-94975 - Udal, A., Jürise, M., Kaugerand, J., Sell, R. Easy to use empirical model for green vegetation reflection spectrum in VIS-NIR range // SPIE digital library., 2020. art. 115240H-1–14.
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https://doi.org/10.1117/12.2528428 - Värno, K., Mahmood, K., Otto, T., Kuts, V. Development of a smart workstation by using AR technology // Proceedings of the 30th International DAAAM Symposium : Intelligent Manufacturing & Automation, 23-26th October 2019, Zadar, Croatia. Vienna : DAAAM International Vienna, 2019. 1061-1067 : ill.
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