| CPC G06F 18/251 (2023.01) [B60W 60/001 (2020.02); G05B 13/0265 (2013.01); B60W 2556/35 (2020.02); B60W 2556/45 (2020.02); G06F 2218/00 (2023.01)] | 15 Claims |

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1. A data processing method, comprising:
obtaining, by a first sensor, first abstract data from first raw data using a first recognition algorithm, wherein the first raw data is captured by the first sensor and the first abstract data comprises attribute description data of a first target;
receiving, by the first sensor, first feedback data, wherein the first feedback data comprises attribute description data of a second target, wherein the first feedback data is based on second raw data captured by one or more second sensors other than the first sensor; and
optimizing, by the first sensor, the first recognition algorithm based on the first feedback data, wherein the first raw data is measurement data of a scenario, and the first target and the second target are targets in the scenario, wherein the second target comprises at least one second specific target, and a target that is the same as the second specific target does not exist in the first target.
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