Mode selection according to system conditions
AssigneesDENSO International America, Inc., Denso Corporation
InventorYu Yan
Life of this patent
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Abstract
Systems, methods, and other embodiments described herein relate to adaptively selecting a controller for generating vehicle controls. In one embodiment, a method includes, in response to acquiring sensor data about a surrounding environment of the vehicle, determining a driving context of the vehicle in relation to aspects of a roadway on which the vehicle is traveling. The method includes selecting a controller for generating control inputs to the vehicle according to the driving context by selecting between a proportional, integral, derivative (PID) controller and a machine learning (ML) controller. The method includes controlling the vehicle using the controller.
Claims20
A control system, comprising:
- one or more processors;
- and
- a memory communicably coupled to the one or more processors and storing:
- a selection module including instructions that, when executed by the one or more processors cause the one or more processors to:
- in response to acquiring sensor data about a surrounding environment of a vehicle, determine a driving context of the vehicle in relation to aspects of a roadway on which the vehicle is traveling;
- select a controller for generating control inputs to the vehicle according to the driving context by selecting between a proportional, integral, derivative (PID) controller and a machine learning (ML) controller;
- and
- control the vehicle using the controller.
A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:
- in response to acquiring sensor data about a surrounding environment of a vehicle, determine a driving context of the vehicle in relation to aspects of a roadway on which the vehicle is traveling;
- select a controller for generating control inputs to the vehicle according to the driving context by selecting between a proportional, integral, derivative (PID) controller and a machine learning (ML) controller;
- and
- control the vehicle using the controller.
A method, comprising:
- in response to acquiring sensor data about a surrounding environment of a vehicle, determining a driving context of the vehicle in relation to aspects of a roadway on which the vehicle is traveling;
- selecting a controller for generating control inputs to the vehicle according to the driving context by selecting between a proportional, integral, derivative (PID) controller and a machine learning (ML) controller;
- and
- controlling the vehicle using the controller.
Dependencies are inferred from the claim text.