Abstract
Vehicle handling and control is an essential aspect of intelligent driver assistance systems, a building block of the upcoming generation of ”smart cars”. A car’s handling is affected by (i) technological (engine, suspension, brakes, tires, wheels, steering, etc.), (ii) environmental (road condition, weather, traffic, etc.), and (iii) human (attentiveness, reactiveness, driver agility, etc.) factors, and their mutual interrelationship. In this paper we investigate on how a driver’s endeavor for precise steering interferes with lateral acceleration while cornering. Depending on the steering ratio and the cruising speed, we identify that the readiness of a driver to compensate lateral forces exhibits counterintuitive characteristics. A driver body posture recognition technique based on a high resolution pressure sensor integrated invisibly and unobtrusively into the fabric of the driver seat has been developed. Sensor data, collected by two 32x32 pressure sensor arrays (seat- and backrest), is classified according to features defined based on cornering driving situations. Experimental results verify an increased readiness to compensate lateral acceleration with increasing driving speed, but only beyond a certain driver specific ”break even” point. Above intelligent driver assistance, e.g. to improve steering precision, to reduce or avoid over-steer or under-steer, or to proactively notify electronic stability control (ESC), our results also encourage for new modalities in driver-to-car and car-to-roadside interaction.
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Riener, A., Ferscha, A., Matscheko, M. (2008). Intelligent Vehicle Handling: Steering and Body Postures While Cornering. In: Brinkschulte, U., Ungerer, T., Hochberger, C., Spallek, R.G. (eds) Architecture of Computing Systems – ARCS 2008. ARCS 2008. Lecture Notes in Computer Science, vol 4934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78153-0_7
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DOI: https://doi.org/10.1007/978-3-540-78153-0_7
Publisher Name: Springer, Berlin, Heidelberg
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