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US 7,719,431 B2Granted
Systems, methods and computer products for drowsy driver detection and response
AssigneeGM Global Technology Operations LLC
InventorFarhad Bolourchi
Life of this patent
Estimating the term…
Abstract
Systems and methods and computer products for drowsy driver detection and response. Exemplary embodiments include systems and methods and computer products for determining that a vehicle has engaged in a lane violation, determining a severity of the lane violation, determining a drowsy driver condition of the vehicle and responding to the drowsy driver condition via onboard warning, corrective actuation, or remote human interventions.
Claims24
A method, comprising:
- determining that a vehicle has engaged in a lane violation;
- determining a severity of the lane violation;
- determining a frequency of lane violations in a time interval T;
- determining a drowsy driver condition of the vehicle as a function of the severity of the lane violation and the frequency of lane violations;
- and
- responding to the drowsy driver condition;
- wherein determining the drowsy driver condition, comprises, for the time interval T:
- calculating lane violation values;
- and
- calculating corresponding severity of lane violation values;
- and summing the products of the lane violation values and the severity of lane violation values over the time interval T.
8 more elements
A drowsy driver detection system comprising:
- a computer processor;
- a computer program product including instructions for causing the computer processor to implement a method, the method comprising:
- determining that a vehicle has engaged in a lane violation;
- determining a severity of the lane violation;
- determining a frequency of lane violations in a time interval T;
- determining a drowsy driver condition of the vehicle as a function of the severity of the lane violation and frequency of lane violations;
- and
- responding to the drowsy driver condition;
- wherein determining the drowsy driver condition, comprises, for the time interval T:
- calculating lane violation values;
- and
- calculating corresponding severity of lane violation values;
- and
- summing the products of the lane violation values and the corresponding severity of lane violation values over the time interval T.
11 more elements
A system, comprising:
- a computer processor;
- a drowsy driver detection process residing on the processor and having instructions to:
- determine that a vehicle has engaged in a lane violation;
- determine a severity of the lane violation;
- determine a frequency of lane violation in a time interval T;
- determine a drowsy driver condition of the vehicle as a function of the severity of the lane violation and the frequency of lane violations;
- and
- respond to the drowsy driver condition;
- wherein determining the drowsy driver condition, comprises, for the time interval T:
- calculating lane violation values;
- and
- calculating corresponding severity of lane violation values;
- and
- summing the products of the lane violation values and the corresponding severity of lane violation values over the time interval T.
11 more elements
A system comprising:
- a computer processor;
- a drowsy driver detection process residing on the processor and having instructions to:
- determine that a vehicle has engaged in lane violation;
- determine a severity of the lane violation;
- determine a drowsy driver condition of the vehicle;
- and
- respond to the drowsy driver condition;
- the process further has instructions to determine a drowsy driver index, D, given by:
- D
- =
- ∑
- i
- T
-
- V
-
-
- i
- *
- S
-
-
- i
- where Vi is a lane violation value having values Vi=0 and Vi=1 for a no lane violation condition and for a lane violation condition respectively, a lane violation condition occurring when a distance between the vehicle and a lane marker falls below a first predetermined value, where Si is a severity of a lane violation and being proportional to an angle of incidence between the vehicle and the lane marker, where the product Vi*Si is summed over a time interval T.
21 more elements
Dependencies are inferred from the claim text.