发明名称 System, method and product for locating vehicle key using neural networks
摘要 A system, method and product for determining a vehicle key fob location. The system may include a control unit for mounting in a vehicle and configured to receive multiple signals, each representing a strength of a wireless signal transmitted between the fob and one of multiple antennas located on a vehicle, and multiple neural networks having a cascade topology. The neural networks may include a first neural network for determining one of a vehicle internal position and a vehicle external position of the fob based on the wireless signal strengths, a second neural network in communication with the first neural network for determining one of multiple vehicle interior positions of the fob based on the wireless signal strengths, and a third neural network in communication with the first neural network for determining one of multiple vehicle exterior positions of the fob based on the wireless signal strengths.
申请公布号 US9182473(B2) 申请公布日期 2015.11.10
申请号 US201313888466 申请日期 2013.05.07
申请人 Lear Corporation 发明人 Margalef Jordi Virgili;Cuesta Daniel Cirujano;Martinez Gema Barreda;Deshpande Sameer;Macovei Petru
分类号 G01S3/02;G01S5/02 主分类号 G01S3/02
代理机构 Brooks Kushman P.C. 代理人 Brooks Kushman P.C.
主权项 1. A system for determining a location of a key fob for use in a vehicle access system, the location system comprising: a control unit for mounting in a vehicle, the control unit configured to receive a plurality of signals, each signal representing a strength of a wireless signal transmitted between the key fob and one of a plurality of antennas located on a vehicle; and a plurality of neural networks having a cascade topology, the plurality of neural networks comprising a first neural network for determining one of a vehicle internal position and a vehicle external position of the key fob based on the wireless signal strengths, wherein determining one of a vehicle internal position and a vehicle external position comprises calculating a plurality of intermediate internal/external position neurons having learned weights and activation functions associated therewith, and calculating an internal/external output neuron for use in indicating one of the vehicle internal position and the vehicle external position of the key fob,a second neural network in communication with the first neural network, the second neural network for determining one of a plurality of vehicle interior positions of the key fob based on the wireless signal strengths, wherein determining one of a plurality of vehicle interior positions comprises calculating a plurality of intermediate interior position neurons having learned weights and activation functions associated therewith, and calculating a plurality of interior position output neurons for use in indicating one of a plurality of vehicle interior positions of the key fob, anda third neural network in communication with the first neural network, the third neural network for determining one of a plurality of vehicle exterior positions of the key fob based on the wireless signal strengths, wherein determining one of a plurality of vehicle exterior positions of the key fob comprises calculating a plurality of intermediate exterior position neurons having learned weights and activation functions associated therewith, and calculating a plurality of exterior position output neurons for use in indicating one of a plurality of vehicle exterior positions of the key fob.
地址 Southfield MI US