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US 2019/0377339 A1Published application
Driver assist
AssigneeFord Global Technologies, LLC
InventorsNitendra Nath, Ryan Danko, Aaron L. Mills
Life of this patent
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Abstract
A computing system can determine a probability of precipitation based on Bayesian inference conditioned on probabilities associated with vehicle wiper status, vehicle jerk, vehicle sway, and vehicle lateral offset. The computing system can disable a vehicle lane assist system based on the probability of precipitation and operate a vehicle with the disabled vehicle lane assist system.
Claims20
A method, comprising:
- determining a probability of precipitation based on Bayesian inference conditioned on probabilities associated with vehicle wiper status, vehicle jerk, vehicle sway, and vehicle lateral offset;
- and
- disabling a vehicle lane assist system based on the probability of precipitation.
A system, comprising a processor;
- and
- a memory, the memory including instructions to be executed by the processor to:
- determine a probability of precipitation based on Bayesian inference conditioned on probabilities associated with vehicle wiper status, vehicle jerk, vehicle sway, and vehicle lateral offset;
- and
- disabling a vehicle lane assist system based on the probability of precipitation.
2 more elements
A system, comprising:
- means for controlling vehicle steering, braking and powertrain;
- computer means for:
- determining a probability of precipitation based on Bayesian inference conditioned on probabilities associated with vehicle wiper status, vehicle jerk, vehicle sway, and vehicle lateral offset;
- and
- disabling a vehicle lane assist system based on the probability of precipitation;
- and
- operating a vehicle with the disabled vehicle lane assist system based on the means for controlling vehicle steering, braking and powertrain.
4 more elements
Dependencies are inferred from the claim text.