DocumentCode :
2124203
Title :
iDriver - Human Machine Interface for Autonomous Cars
Author :
Reuschenbach, Arturo ; Wang, Miao ; Ganjineh, Tinosch ; Göhring, Daniel
Author_Institution :
Artificial Intell. Group, Freie Univ. Berlin, Berlin, Germany
fYear :
2011
fDate :
11-13 April 2011
Firstpage :
435
Lastpage :
440
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".
Keywords :
automobiles; driver information systems; man-machine systems; sensors; telecontrol; user interfaces; Made in Germany; Spirit of Berlin; advanced driver assistance systems; autonomous cars; decision making process; human machine interface; iDriver; iPad software solution; remote control; sensor data; user interfaces; Cameras; Driver circuits; Humans; Sensors; Servers; Software; Vehicles; autonomous; car; driver assistance; iPad; made in germany; remote control; spirit of berlin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations (ITNG), 2011 Eighth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-61284-427-5
Electronic_ISBN :
978-0-7695-4367-3
Type :
conf
DOI :
10.1109/ITNG.2011.83
Filename :
5945275
Link To Document :
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