Journalartikel - Wissenschaftlicher Artikel | 2021 | Peer reviewed

Methodical Approach to the Development of a Radar Sensor Model for the Detection of Urban Traffic Participants Using a Virtual Reality Engine

Autor*innen

Degen, René ; Ott, Harry ; Overath, Fabian ; Schyr, Christian ; Leijon, Mats ; Ruschitzka, Margot

Zeitschrift

Journal of Transportation Technologies

DOI

10.4236/jtts.2021.112012

URL

http://www.scirp.org/journal/PaperDownload.aspx?paperID=108129

Weitere Details

Sprache

englisch

Darstellungsform

Text

Band

Ausgabe

Seitenbereich

179 - 195

Zitierstile

Degen, R., Ott, H., Overath, F., Schyr, C., Leijon, M., & Ruschitzka, M. (2021). Methodical Approach to the Development of a Radar Sensor Model for the Detection of Urban Traffic Participants Using a Virtual Reality Engine. Journal of Transportation Technologies, 11(02), 179–195. doi:10.4236/jtts.2021.112012

In die Zwischenablage kopieren

Degen, R., Ott, H., Overath, F., Schyr, C., Leijon, M. and Ruschitzka, M., 2021. Methodical Approach to the Development of a Radar Sensor Model for the Detection of Urban Traffic Participants Using a Virtual Reality Engine. Journal of Transportation Technologies, [online] 11(02), pp.179–195. Available at: <http://www.scirp.org/journal/PaperDownload.aspx?paperID=108129>.

In die Zwischenablage kopieren

Degen, René u. a. 2021. Methodical Approach to the Development of a Radar Sensor Model for the Detection of Urban Traffic Participants Using a Virtual Reality Engine. Journal of Transportation Technologies 11, 02, 179–195. http://www.scirp.org/journal/PaperDownload.aspx?paperID=108129.

American Psychological Association 6th edition (DOI)

Anglia Ruskin University - Harvard

Gesellschaft für Bildung und Forschung in Europa - Harvard