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Abstract

Currently available driver assistance systems more or less all rely on odometric data. However, in the future, a new form of information is likely to be used: visual sensors, e.g. cameras, which can provide additional knowledge on traffic and the vicinity. In this paper we present an inertially stabilized camera platform for high-precision tracking of vehicles, lane markers and traffic signs. A highly miniaturized inertial measurement system measures a vehicle’s motion in space and determines an effective stabilization command for the camera motion device. In addition, an image processing software extracts the position and self-motion of the points of interest. After presenting hardware and controller design, the paper focuses on the application in test drives on German freeways.

Keywords

Driver assistance inertial stabilization μCube implicit filtering.

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References

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Gaze Control for Driver Assistance Systems

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