DATA-DRIVEN-BASED SYSTEM FOR IMPLEMENTING AUTOMATIC ITERATION OF PREDICTION MODEL

WIPO Patent Application WO/2021/237768

A1

A data-driven-based system for implementing the automatic iteration of a prediction model, comprising a processor and a cloud. The processor labels behavior data of each road participant on the basis of an observed movement trajectory of each road participant to obtain corresponding labeling information, thus achieving automatic labeling, and then sends filtered first behavior data and the corresponding labeling information to the cloud. When determining that preset automatic trigger conditions are met, the cloud extracts training samples to train an initial network model and obtain a target network model, so that model training is automatically triggered, and then evaluation is automatically triggered. Moreover, when evaluation results meet model update requirements, the cloud sends the target network model to the processor to achieve the automatic deployment of the target network model. The processor automatically updates the prediction model to the target network model after receiving the target network model. Hence, no manual participation is required for data labeling, model training, model evaluation or model updating, and the degree of automation is high.

DONG WEISHAN (CN)
ZHANG CHI (CN)
YANG WENJUAN (CN)
JIANG ZHUXI (CN)

PCT/CN2020/094133

December 02, 2021

June 03, 2020

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CHUSUDU SUZHOU TECH CO LTD (CN)

B60W60/00

CN111137282A	2020-05-12
CN109878515A	2019-06-14
CN109878512A	2019-06-14
CN110997387A	2020-04-10
CN110858454A	2020-03-03
CN109969172A	2019-07-05
US20160176397A1	2016-06-23

BEIJING KELING INTELLECTUAL PROPERTY FIRM (CN)

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