Navigation/Menü: Links auf weitere Seiten dieser Website
Objekt-Metadaten
| iDriver - Human Machine Interface for Autonomous Cars Wang, Miao |
| Haupttitel | iDriver - Human Machine Interface for Autonomous Cars |
| Autor | Wang, Miao; Reuschenbach, Arturo; Ganjineh, Tinosch; Göhring, Daniel |
| Seitenzahl | 6 S. |
| URL des Originaldokuments | URL >> |
| Fachbereich/Einrichtung | FB Mathematik und Informatik |
| Erscheinungsjahr | 2011 |
| Dokumente | pdf-Datei
Falls Ihr Browser eine Datei nicht öffnen kann, die Datei zuerst herunterladen und dann öffnen.
|
| Freie Schlagwörter | autonomous; car; iPad; remote control; driver assistance; spirit of berlin; made in germany |
| DDC | 005 Programmierung, Programme, Daten 004 Datenverarbeitung; Informatik |
| Dokumententyp/-Sammlungen | Monographie/Text |
| Medientyp/Format | Text |
| Abstract | Modern cars are equipped with a variety of sensors, advanced driver assistance systems and user interfaces nowadays. To benefit from these systems and to optimally support the driver in his monitoring and decision making process, efficient human-machine interfaces play an important part. This paper describes the second release of iDriver, an iPad software solution which was developed to navigate and remote control autonomous cars, to give access to live sensor data and useful data about the car state, as there are, e.g., current speed, engine and gear state. The software was used and evaluated in our two fully autonomous research cars “Spirit of Berlin” and “Made in Germany”. |
| Sprache | Englisch |
| Rechte | Nutzungsbedingungen |
| Zugriffstatistik | |
| Statische URL | http://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000014724 |
| Erstellt am | 24.10.2012 - 13:21:12 |
| Letzte Änderung | 24.10.2012 - 13:21:17 |
