Autonomous operation suitability assessment and mapping
First Claim
1. A computer-implemented method for analyzing roadway suitability for autonomous or semi-autonomous vehicle operation, comprising:
- receiving, at one or more processors, map data including indications of a plurality of road segments;
receiving, at the one or more processors, operating data from a plurality of vehicles having at least one autonomous operation feature, wherein the operating data includes location data associated with operation of the plurality of vehicles and wherein the operating data further includes data regarding accidents and data regarding hazardous events other than accidents, the hazardous events other than accidents including near collisions in which some of the plurality of vehicles came within threshold distances of other vehicles;
selecting, by the one or more processors, a road segment to analyze from the plurality of road segments;
associating, by the one or more processors, a subset of the operating data with the road segment based upon the location data;
determining, by the one or more processors, one or more risk levels associated with the road segment based upon the associated subset of the operating data;
determining, by the one or more processors, one or more suitability scores for the road segment based upon the one or more risk levels, each suitability score indicating a category of suitability for autonomous or semi-autonomous vehicle operation; and
storing, in a database, the one or more suitability scores, each suitability score further stored with an indication of the associated road segment.
1 Assignment
0 Petitions
Accused Products
Abstract
Methods and systems for autonomous and semi-autonomous vehicle routing are disclosed. Roadway suitability for autonomous operation is scored to facilitate use in route determination. Maps of roadways suitable for various levels of autonomous operation may be generated. Such map data may be used by autonomous vehicles or other computer devices in determining routes based upon criteria for vehicle trips. Such routes may be automatically updated based upon changes in road conditions, vehicle conditions, operator conditions, or environmental conditions. Emergency routing using such map data is described, such as automatic routing and travel when a passenger is experiencing a medical emergency.
-
Citations
20 Claims
-
1. A computer-implemented method for analyzing roadway suitability for autonomous or semi-autonomous vehicle operation, comprising:
-
receiving, at one or more processors, map data including indications of a plurality of road segments; receiving, at the one or more processors, operating data from a plurality of vehicles having at least one autonomous operation feature, wherein the operating data includes location data associated with operation of the plurality of vehicles and wherein the operating data further includes data regarding accidents and data regarding hazardous events other than accidents, the hazardous events other than accidents including near collisions in which some of the plurality of vehicles came within threshold distances of other vehicles; selecting, by the one or more processors, a road segment to analyze from the plurality of road segments; associating, by the one or more processors, a subset of the operating data with the road segment based upon the location data; determining, by the one or more processors, one or more risk levels associated with the road segment based upon the associated subset of the operating data; determining, by the one or more processors, one or more suitability scores for the road segment based upon the one or more risk levels, each suitability score indicating a category of suitability for autonomous or semi-autonomous vehicle operation; and storing, in a database, the one or more suitability scores, each suitability score further stored with an indication of the associated road segment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
-
-
14. A computer system for analyzing roadway suitability for autonomous or semi-autonomous vehicle operation, comprising:
-
one or more processors; a map database communicatively connected to the one or more processors; and a program memory coupled to the one or more processors and storing executable instructions that, when executed by the one or more processors, cause the computer system to; receive map data including indications of a plurality of road segments; receive operating data from a plurality of vehicles having at least one autonomous operation feature, wherein the operating data includes location data associated with operation of the plurality of vehicles and wherein the operating data further includes data regarding accidents and data regarding hazardous events other than accidents, the hazardous events other than accidents including near collisions in which some of the plurality of vehicles came within threshold distances of other vehicles; select a road segment to analyze from the plurality of road segments; associate a subset of the operating data with the road segment based upon the location data; determine one or more risk levels associated with the road segment based upon the associated subset of the operating data; determine one or more suitability scores for the road segment based upon the one or more risk levels, each suitability score indicating a category of suitability for autonomous or semi-autonomous vehicle operation; and store the one or more suitability scores in the map database, each suitability score further stored with an indication of the associated road segment. - View Dependent Claims (15, 16, 17, 18)
-
-
19. A tangible, non-transitory computer-readable medium storing instructions for analyzing roadway suitability for autonomous or semi-autonomous vehicle operation that, when executed by at least one processor of a computer system, cause the computer system to:
-
receive map data including indications of a plurality of road segments; receive operating data from a plurality of vehicles having at least one autonomous operation feature, wherein the operating data includes location data associated with operation of the plurality of vehicles and wherein the operating data further includes data regarding accidents and data regarding hazardous events other than accidents, the hazardous events other than accidents including near collisions in which some of the plurality of vehicles came within threshold distances of other vehicles; select a road segment to analyze from the plurality of road segments; associate a subset of the operating data with the road segment based upon the location data; determine one or more risk levels associated with the road segment based upon the associated subset of the operating data; determine one or more suitability scores for the road segment based upon the one or more risk levels, each suitability score indicating a category of suitability for autonomous or semi-autonomous vehicle operation; and store the one or more suitability scores in a map database, each suitability score further stored with an indication of the associated road segment. - View Dependent Claims (20)
-
Specification