Skip to main content

2020 | OriginalPaper | Buchkapitel

Autonomous Vehicles and Mechatronics Education

verfasst von : Gilberto Marzano, Andris Martinovs, Svetlana Usca

Erschienen in: ICTE in Transportation and Logistics 2019

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Automotive mechatronics involves the multidisciplinary integration of automotive mechanical and electronic systems. As such, automotive mechatronics education integrates knowledge and competences across automotive-specific mechanics, electronics, communication, advanced control, and modeling. Over the last few years, the subject of autonomous vehicles has been attracting significant attention from researchers, as well as interest from the media and the public at large. It encompasses a myriad of new applications, ranging from driverless cars to airborne surveillance of sensitive areas. Designing solutions for autonomous vehicles requires the integration of hardware and software components, as well as interaction with cloud-based servers. This paper focuses on autonomous/unmanned ground vehicles within the scope of a mechatronics curriculum. It has been proposes an educational model for autonomous vehicles for inclusion in the new mechatronics curriculum of NewMetro, an EU funded project that aims to develop an innovative European framework of competences for mechatronics education.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
2.
Zurück zum Zitat McGrath, M.E.: Autonomous Vehicles: Opportunities, Strategies, and Disruptions (2018). Independently published McGrath, M.E.: Autonomous Vehicles: Opportunities, Strategies, and Disruptions (2018). Independently published
3.
Zurück zum Zitat SAE, SAE. J3016 Standard: taxonomy and definitions for terms related to on-Road motor vehicle automated driving systems (2014) SAE, SAE. J3016 Standard: taxonomy and definitions for terms related to on-Road motor vehicle automated driving systems (2014)
4.
Zurück zum Zitat Bagloee, S.A., Tavana, M., Asadi, M., Oliver, T.: Autonomous vehicles: challenges, opportunities, and future implications for transportation policies. J. Modern Transp. 24(4), 284–303 (2016)CrossRef Bagloee, S.A., Tavana, M., Asadi, M., Oliver, T.: Autonomous vehicles: challenges, opportunities, and future implications for transportation policies. J. Modern Transp. 24(4), 284–303 (2016)CrossRef
5.
Zurück zum Zitat Habib, M.K., Davim, J.P.: Interdisciplinary Mechatronics: Engineering Science and Research Development. Wiley, Hoboken (2013)CrossRef Habib, M.K., Davim, J.P.: Interdisciplinary Mechatronics: Engineering Science and Research Development. Wiley, Hoboken (2013)CrossRef
6.
Zurück zum Zitat Cetinkunt, S.: Mechatronics with Experiments. Wiley, Hoboken (2015) Cetinkunt, S.: Mechatronics with Experiments. Wiley, Hoboken (2015)
7.
Zurück zum Zitat Bradley, D., Russell, D., Ferguson, I., et al.: The Internet of Things-the future or the end of mechatronics. Mechatronics 27, 57–74 (2015)CrossRef Bradley, D., Russell, D., Ferguson, I., et al.: The Internet of Things-the future or the end of mechatronics. Mechatronics 27, 57–74 (2015)CrossRef
8.
Zurück zum Zitat Liu, S., Li, L., Tang, J., Wu, S., Gaudiot, J.L.: Creating autonomous vehicle systems. Synth. Lect. Comput. Sci. 6(1), i–186 (2017) Liu, S., Li, L., Tang, J., Wu, S., Gaudiot, J.L.: Creating autonomous vehicle systems. Synth. Lect. Comput. Sci. 6(1), i–186 (2017)
9.
Zurück zum Zitat Behere, S., Torngren, M.: A functional architecture for autonomous driving. In: 2015 First International Workshop on Automotive Software Architecture (WASA), pp. 3–10 (2015) Behere, S., Torngren, M.: A functional architecture for autonomous driving. In: 2015 First International Workshop on Automotive Software Architecture (WASA), pp. 3–10 (2015)
11.
Zurück zum Zitat Baker, S., Scharstein, D., Lewis, J.P., et al.: A database and evaluation methodology for optical flow. Int. J. Comput. Vision 92(1), 1–31 (2011)CrossRef Baker, S., Scharstein, D., Lewis, J.P., et al.: A database and evaluation methodology for optical flow. Int. J. Comput. Vision 92(1), 1–31 (2011)CrossRef
12.
Zurück zum Zitat Scharstein, D., Hirschmüller, H., Kitajima, Y. et al.: High-resolution stereo datasets with subpixel-accurate ground truth. In: German conference on pattern recognition, pp. 31–42. Springer, Cham (2014) Scharstein, D., Hirschmüller, H., Kitajima, Y. et al.: High-resolution stereo datasets with subpixel-accurate ground truth. In: German conference on pattern recognition, pp. 31–42. Springer, Cham (2014)
13.
Zurück zum Zitat Yang, G., Song, X., Huang, C., Deng, Z., Shi, J., Zhou, B: DrivingStereo: a large-scale dataset for stereo matching in autonomous driving scenarios. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 899–908 (2019) Yang, G., Song, X., Huang, C., Deng, Z., Shi, J., Zhou, B: DrivingStereo: a large-scale dataset for stereo matching in autonomous driving scenarios. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 899–908 (2019)
14.
Zurück zum Zitat Hubmann, C., Becker, M., Althoff, D., Lenz, D., Stiller, C.: Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles. In: 2017 IEEE Intelligent Vehicles Symposium (IV), pp. 1671–1678 (2017) Hubmann, C., Becker, M., Althoff, D., Lenz, D., Stiller, C.: Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles. In: 2017 IEEE Intelligent Vehicles Symposium (IV), pp. 1671–1678 (2017)
15.
Zurück zum Zitat Czubenko, M., Kowalczuk, Z., Ordys, A.: Autonomous driver based on an intelligent system of decision-making. Cogn. Comput. 7(5), 569–581 (2015)CrossRef Czubenko, M., Kowalczuk, Z., Ordys, A.: Autonomous driver based on an intelligent system of decision-making. Cogn. Comput. 7(5), 569–581 (2015)CrossRef
16.
Zurück zum Zitat Frochte, J., Lemmen, M., Schmidt, M.: Seamless integration of machine learning contents in mechatronics curricula. In: 19th International Conference on Research and Education in Mechatronics. IEEE (2018) Frochte, J., Lemmen, M., Schmidt, M.: Seamless integration of machine learning contents in mechatronics curricula. In: 19th International Conference on Research and Education in Mechatronics. IEEE (2018)
17.
Zurück zum Zitat Gao, P., Kaas, H.W., Mohr, D., Wee, D.: Disruptive Trends that will Transform the Auto Industry, vol. 1, pp. 1–9. McKinsey & Company, New York (2016) Gao, P., Kaas, H.W., Mohr, D., Wee, D.: Disruptive Trends that will Transform the Auto Industry, vol. 1, pp. 1–9. McKinsey & Company, New York (2016)
Metadaten
Titel
Autonomous Vehicles and Mechatronics Education
verfasst von
Gilberto Marzano
Andris Martinovs
Svetlana Usca
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-39688-6_38

    Premium Partner