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This work examines how a classifier's output of a cut-in prediction can be mapped to a (semi-) automated car's reaction to it. Several approaches of decision making are compared using real world data of a lane change predictor for an automated longitudinal guidance system, similar to an adaptive cruise control system, as an example. We show how the decision algorithms affect the time when a new lead...
This work examines how a classifier's output of a long-term, motivation-based cut-in prediction can be mapped to a (semi-) automated car's reaction to it. A novel approach to decision making is proposed automated longitudinal guidance systems based on situational contexts. The decider has been implemented in BMW's current automated driving framework and we show that the algorithm exhibits more comfortable...
To assure a safe, comfortable and especially a cooperative driving experience while driving semi, highly or even fully automated, anticipation of the driving behavior of other traffic participants is needed. Because of the amount of different traffic situations and influence factors on the task of driving, due to uncertainties in environmental sensor measurements, and as a consequence of variable...
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