发明名称 Composite confidence estimation for predictive driver assistant systems
摘要 The invention relates to a driving assistance system including a prediction subsystem in a vehicle. According to a method aspect of the invention, the method comprises the steps of accepting a set of basic environment representations; allocating a set of basic confidence estimates; associating weights to the basic confidence estimates; calculating a weighted composite confidence estimate for a composite environment representation; and providing the weighted composite confidence estimate as input for an evaluation of a prediction based on the composite environment representation.
申请公布号 US9308919(B2) 申请公布日期 2016.04.12
申请号 US201414520531 申请日期 2014.10.22
申请人 HONDA RESEARCH INSTITUTE EUROPE GMBH 发明人 Schmüdderich Jens
分类号 B60W50/00;G06N5/04;B60W30/08;B60W30/14;B60W40/04;G06K9/00;G06K9/62;B60W30/18 主分类号 B60W50/00
代理机构 Squire Patton Boggs (US) LLP 代理人 Squire Patton Boggs (US) LLP
主权项 1. A method for a prediction subsystem in a driving assistance system of a vehicle, the method comprising the following steps: accepting a set of basic environment representations, wherein each basic environment representation represents at least one first entity detected by one or more sensors in an environment of the vehicle; allocating a set of basic confidence estimates, wherein each basic confidence estimate of the set is associated to one of the set of basic environment representations, and each basic confidence estimate represents a combination of one or more detection confidences related to the associated basic environment representation; associating at least one weight to one of the set of basic confidence estimates, wherein the weight is related to a composite environment representation based on the set of basic environment representations and the weight indicates an effect of a detection error in the basic environment representation, to which the basic confidence estimate is associated to, on a prediction for a second detected entity; calculating a weighted composite confidence estimate for the composite environment representation based on a combination of the set of basic confidence estimates with the associated at least one weight; and providing the weighted composite confidence estimate as input for an evaluation of the prediction based on the composite environment representation provided by the one or more sensors, wherein one or more of the basic environment representations and the composite environment representation comprise direct and/or indirect indicators and one or more of the basic confidence estimates and the composite confidence estimate comprise confidence indicators wherein direct and/or indirect indicators and the confidence indicators are based on a similar data structure; and acting on the evaluation of the prediction to perform an active or passive control of a vehicle by the driving assistance system of the vehicle.
地址 Offenbach/Main DE