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公开(公告)号：US09889798B1
公开(公告)日：2018-02-13
申请号：US15253343
申请日：2016-08-31
Applicant: Autoliv ASP, Inc.
CPC classification number: B60Q9/008 , G01S13/66 , G01S13/886 , G01S13/931 , G06N7/00
Abstract: Systems and methods are presented herein for improved cross-path detection between a host vehicle and a target object. In general, the cross-path angle by solving a multiple hypothesis problem characterized by independent calculations across a first plurality of time points, the multiple hypothesis problem supposing a plurality of possible cross-path angle solutions, each cross-path angle solution representing a corresponding possible trajectory for the target object. Advantageously, a cross-traffic alert or other feedback may be triggered based at least partially on whether the target object is within a region of interest, wherein the region of interest is determined at least in part based on the estimated cross-path angle. In some embodiments the cross-path angle may be determined by selecting a cross-path angle solution from the plurality of possible cross-path angle solutions which minimizes a variance between results of the independent calculations across the first plurality of time points. Other feature disclosed herein include, determining an estimate for the cross-path angle for each of a plurality of trackings of the target object, wherein each tracking is characterized by a different set of two or more time points. This may advantageously enable, determining a change in trajectory of the target object based on variance between cross-path angle estimates.
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公开(公告)号：US20180203106A1
公开(公告)日：2018-07-19
申请号：US15410621
申请日：2017-01-19
Applicant: Autoliv ASP, Inc.
Inventor： Junru Di , Shan Cong , Kapil Gupta , Malakeh Sivako , Debra Rice , Joe Attard
CPC classification number: G01S13/04 , G01S7/2922 , G01S7/411 , G01S13/87 , G01S13/931 , G01S2013/9378 , G08G1/165
Abstract: A system and method for determining when a trailer is located behind a vehicle includes at least one detection device configured to detect objects located behind the vehicle and a processor. The processor is in communication with the at least one detection device and a plurality of signals generated by the vehicle. The processor receives data from the at least one detection device. The data includes a plurality of targets detected by the at least one detection device. Next, the processor determines if one or more clusters exists and clusters the targets into at least one cluster to form cluster features when one or more clusters exist. The processor determines vehicle state based on the vehicle dynamic features from the plurality of signals generated by the vehicle as well as global features from data from the at least one detection device and determines when the trailer is located behind the vehicle based on the cluster features, the vehicle state, and/or the global features.
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