Map-based prediction and mitigation of performance limitations for autonomous vehicles

1. A system for controlling a vehicle, the system comprising

a localization system;

a memory storing a digital map;

and

an electronic processor configured to

receive, from the localization system, a current location of the vehicle;

determine a future driving segment of the vehicle based upon the current location of the vehicle;

determine at least one performance limitation of the future driving segment for at least one sensor of the vehicle based on a classification of the future driving segment of the vehicle;

determine a category of driving maneuvers of the vehicle that overcome the determined at least one performance limitation of the future driving segment, wherein categories of driving maneuvers including the category of driving maneuvers are based on speed, acceleration, number of utilized sensors, and steering direction thresholds;

determine a mitigation measure to overcome the determined at least one performance limitation;

wherein the mitigation measure includes limiting complex driving maneuvers for the vehicle based on the determined category of driving maneuvers of the vehicle, and wherein the complex driving maneuvers are determined based on the categories of driving maneuvers; and

when the vehicle operates in the future driving segment, control operation of the vehicle based on the determined at least one performance limitation and the determined mitigation measure.

2. The system of claim 1 , wherein the mitigation measure further includes at least one of: setting a preference of a lateral position in a driving lane for the vehicle, setting a preference for a particular lane on a multi-lane road, and adaption of a speed of the vehicle.

3. The system of claim 1 , wherein the classification indicates a particular performance limitation.

4. The system of claim 3 , wherein the classification includes a probability that the particular performance limitation will occur based on one or more environmental conditions.

5. The system of claim 3 , wherein the classification is a classification selected from a group of classifications consisting of a binary classification, a quality class classification, an individual sensor quality class classification, and a redundancy classification.

6. The system of claim 3 , wherein the classification includes at least one of a static map attribute and a dynamic map attribute.

7. The system of claim 1 , wherein the future driving segment is further determined based upon a planned driving route of the vehicle.

8. A method for controlling a vehicle, the method comprising

receiving, with an electronic processor, a current location of the vehicle from a localization system;

determining, with the electronic processor, a future driving segment of the vehicle based upon the current location of the vehicle;

determining, with the electronic processor, at least one performance limitation of the future driving segment for at least one sensor of the vehicle based on a classification of the future driving segment of the vehicle;

determining, with the electronic processor, a category of driving maneuvers of the vehicle that overcome the determined at least one performance limitation of the future driving segment, wherein categories of driving maneuvers including the category of driving maneuvers are based on speed, acceleration, number of utilized sensors, and steering direction thresholds;

determining, with the electronic processor, a mitigation measure to overcome the determined at least one performance limitation;

wherein the mitigation measure includes limiting complex driving maneuvers for the vehicle based on the determined category of driving maneuvers of the vehicle and wherein the complex driving maneuvers are determined based on the categories of driving maneuvers; and

when the vehicle operates in the future driving segment, controlling operation, with the electronic processor, of the vehicle based on the determined at least one performance limitation and the determined mitigation measure.

9. The method of claim 8 , wherein the mitigation measure further includes at least one of: setting a preference of a lateral position in a driving lane for the vehicle, setting a preference for a particular lane on a multi-lane road, and adaption of a speed of the vehicle.

10. The method of claim 8 , wherein the classification indicates a particular performance limitation.

11. The method of claim 10 , wherein the classification includes a probability that the particular performance limitation will occur based on one or more environmental conditions.

12. The method of claim 10 , wherein the classification is a classification selected from a group of classifications consisting of a binary classification, a quality class classification, an individual sensor quality class classification, and a redundancy classification.

13. The method of claim 10 , wherein the classification includes at least one of a static map attribute and a dynamic map attribute.

14. The method of claim 8 , wherein the future driving segment of the vehicle is further determined based upon a planned driving route of the vehicle.

15. A non-transitory, computer-readable medium containing instructions that, when executed by an electronic processor, are configured to perform a set of functions, the set of functions including:

receiving a current location of a vehicle from a localization system;

determining a future driving segment of the vehicle based on the current location of the vehicle;

determining at least one performance limitation of the future driving segment for at least one sensor of the vehicle based on a classification of the future driving segment of the vehicle;

determining, with the electronic processor, a category of driving maneuvers of the vehicle that overcome the determined at least one performance limitation of the future driving segment, wherein categories of driving maneuvers including the category of driving maneuvers are based on speed, acceleration, number of utilized sensors, and steering direction thresholds;

determining a mitigation measure to overcome the determined at least one performance limitation;

wherein the mitigation measure includes limiting complex driving maneuvers for the vehicle based on the determined category of driving maneuvers of the vehicle and wherein the complex driving maneuvers are determined based on the categories of driving maneuvers; and

when the vehicle operates in the future driving segment, controlling operation of the vehicle based on the determined at least one performance limitation and the determined mitigation measure.

16. The non-transitory, computer-readable medium of claim 15 , wherein the classification indicates a particular performance limitation.

17. The non-transitory, computer-readable medium of claim 16 , wherein the classification includes a probability that the particular performance limitation will occur based on one or more environmental conditions.

18. The non-transitory, computer-readable medium of claim 16 , wherein the classification is a classification selected from a group of classifications consisting of a binary classification, a quality class classification, an individual sensor quality class classification, and a redundancy classification.

19. The non-transitory, computer-readable medium of claim 16 , wherein the classification includes at least one of a static map attribute and a dynamic map attribute.

20. The non-transitory, computer-readable medium of claim 15 , wherein the mitigation measure further includes at least one of: setting a preference of a lateral position in a driving lane for the vehicle, setting a preference for a particular lane on a multi-lane road, and adaption of a speed of the vehicle.