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US 2019/0337522 A1Published application
Determining vehicle driving behavior
AssigneeFord Global Technologies, LLC
InventorsSANGHYUN HONG, JIANBO LU, DIMITAR PETROV FILEV
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Abstract
A system may include a plurality of vehicle sensor and a computer comprising a processor and memory storing instructions executable by the processor. One of the instruction may comprise to determine a driving responsiveness (DR) value using a weighted sum comprising indices of a transition probability matrix (Q), Q being derived from likelihood of transition data (Λ) between a plurality of driving modes from a set of interacting multiple model (IMM) instruction.
Claims20
A method, comprising:
- determining a driving responsiveness (DR) value using a weighted sum comprising indices of a transition probability matrix (Q), the Q being derived from likelihood of transition data (Λ) between a plurality of driving modes from a set of interacting multiple model (IMM) instructions, wherein a driving mode is a classification of driving aggressiveness, wherein likelihood of transition data (Λ) between driving modes is a probability that a vehicle will, in the near future, change from one of the plurality of driving modes to another of the plurality of driving modes.
A system, comprising:
- a plurality of vehicle sensors;
- and
- a computer, comprising a processor and memory storing instructions executable by the processor, the instructions comprising, to:
- derive likelihood of transition data (Λ) between a plurality of driving modes from sensor data from the plurality of sensors;
- and
- using the likelihood of transition data (Λ), determine a driving responsiveness (DR) value using a weighted sum comprising indices of a transition probability matrix (Q),
- wherein a driving mode is a classification of driving aggressiveness, wherein likelihood of transition data (Λ) between driving modes is a probability that a vehicle will, in the near future, change from one of the plurality of driving modes to another of the plurality of driving modes.
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Dependencies are inferred from the claim text.