| CPC B60W 50/06 (2013.01) [B60W 60/001 (2020.02); G01C 21/30 (2013.01); G08G 1/22 (2013.01); B60W 2555/20 (2020.02)] | 18 Claims |

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1. A computer-implemented method for onboard data collection, comprising: identifying, by at least one processor, a condition in a roadway associated with an operation of one or more autonomous vehicles (AVs) that may be further optimized to improve performance of the one or more AVs, identifying the condition in the roadway further includes:
mining, by at least one processor, a plurality of roadway images from one or more data sources for factors relating to a reoccurring situation, as the condition, in the roadway; and
associating, by the at least one processor, the plurality of roadway images with one or more other roadways to traverse based on location and time; and
generating, by the at least one processor, one or more condition capture instructions to communicate to the one or more AVs, wherein the one or more condition capture instructions comprise one or more parameters of a storage request in one or more roadways predicted to exhibit the condition in the roadway,
wherein, when at least one condition capture instruction in the one or more condition capture instructions are received by an AV computing system in at least one of the one or more AVs, the at least one condition capture instruction is configured to cause the at least one of the one or more AVs to collect condition information in the roadway at a time when the condition is predicted to be present in the roadway;
controlling at least one of the one or more AVs based on the one or more condition capture instructions.
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