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Semi-autonomous Car Control Using Brain Computer Interfaces

Raúl Rojas, Daniel Goehring, David Latotzky, Miao Wang— 2013

In this paper we present an approach to control a real car with brain signals. To achieve this, we use a brain computer interface (BCI) which is connected to our autonomous car. The car is equipped with a variety of sensors and can be controlled by a computer. We implemented two scenarios to test the usability of the BCI for controlling our car. In the first scenario our car is completely brain controlled, using four different brain patterns for steering and throttle/brake. We will describe the control interface which is necessary for a smooth, brain controlled driving. In a second scenario, decisions for path selection at intersections and forkings are made using the BCI. Between these points, the remaining autonomous functions (e.g. path following and obstacle avoidance) are still active. We evaluated our approach in a variety of experiments on a closed airfield and will present results on accuracy, reaction times and usability.

TitelSemi-autonomous Car Control Using Brain Computer Interfaces
VerfasserRaúl Rojas, Daniel Goehring, David Latotzky, Miao Wang
VerlagSpringer Verlag, Heidelberg
Themainterfaces, autonomous driving
Datum2013
KennungPrint-ISBN: 978-3-642-33931-8, Online-ISBN: 978-3-642-33932-5, DOI: 10.1007/978-3-642-33932-5_37
Quelle/n
Erschienen inProceedings of the 12th International Conference IAS-12, held June 26-29, 2012, Jeju Island, Korea. Advances in Intelligent Systems and Computing, Volume 194.
Spracheeng
Größe oder Längepp. 393-408
RechteCopyright by Springer. When citing this work, cite the original link.