HIGH DEFINITION MAP BASED LOCALIZATION OPTIMIZATION
A vehicle, for example, an autonomous vehicle performs localization to determine the current location of the vehicle using different localization techniques as the vehicle drives. The localization technique used by the autonomous vehicle is selected from a localization variant index that stores mapping from a driving context to localization variant, each localization variant identifying a localization technique. The driving context may comprise information including: a geographical region in which the autonomous vehicle is driving, a speed at which the autonomous vehicle is driving, an angular velocity of the autonomous vehicle, or other information. Using an optimal localization technique in each driving context improves the accuracy of localization as well as computing efficiency of the process of localization.
1 . A non-transitory computer readable storage medium storing instructions, the instructions when executed by a processor, cause the processor to perform steps comprising: storing a plurality of localization variants, each localization variant representing a localization technique for determining location of an autonomous vehicle, wherein the localization technique is associated with one or more parameters, the localization variant specifying a set of values for each of the one or more parameters;
storing information describing a plurality of geographical regions;
building a localization index mapping driving contexts to localization variants, wherein a driving context is mapped to one or more localization variants based on a measure of performance of each of the one or more localization variants in the driving context;
repeating, by an autonomous vehicle, the following steps while driving:
receiving, by the autonomous vehicle, sensor data captured by sensors of the autonomous vehicle;
determining, by the autonomous vehicle, based on the sensor data, a current
driving context for the autonomous vehicle;
determining, by the autonomous vehicle, a localization variant corresponding to the current driving context using the localization index;
determining, by the autonomous vehicle, a location of the autonomous vehicle using the localization variant; and
navigating, by the autonomous vehicle, based on the location of the autonomous vehicle.