US 2021/0240190 A1 · Explainability of Autonomous Vehicle Decision Making

Abstract

A processor is configured to execute instructions stored in a memory to identify distinct vehicle operational scenarios; instantiate decision components, where each of the decision components is an instance of a respective decision problem, and where the each of the decision components maintains a respective state describing the respective vehicle operational scenario; receive respective candidate vehicle control actions from the decision components; select an action from the respective candidate vehicle control actions, where the action is from a selected decision component of the decision components, and where the action is used to control the AV to traverse a portion of the vehicle transportation network; and generate an explanation as to why the action was selected, where the explanation includes respective descriptors of the action, the selected decision component, and a state factor of the respective state of the selected decision component.

Claims20

Dependent claims

An apparatus for traversing a vehicle transportation network by an autonomous vehicle (AV), comprising:

a memory;
and
a processor, the processor configured to execute instructions stored in the memory to:
identify distinct vehicle operational scenarios;
instantiate decision components,
wherein each of the decision components is an instance of a respective decision problem that models a respective distinct vehicle operational scenario of the distinct vehicle operational scenarios, and
wherein the each of the decision components maintains a respective state describing the respective vehicle operational scenario;
receive respective candidate vehicle control actions from the decision components;
select an action from the respective candidate vehicle control actions,
wherein the action is from a selected decision component of the decision components, and
wherein the action is used to control the AV to traverse a portion of the vehicle transportation network;
control the AV to traverse the portion of the vehicle transportation network using the action;
and
generate an explanation as to why the action was selected,
wherein the explanation comprises respective descriptors of the action, the selected decision component, and a state factor of the respective state of the selected decision component.

12 more elements

Dependencies are inferred from the claim text.

Explainability of Autonomous Vehicle Decision Making

Life of this patent

Explainability of Autonomous Vehicle Decision Making

Life of this patent

Abstract

Claims20