Automobile radar point cloud data processing method
A technology for point cloud data and automotive radar, which is applied in the processing field of automotive radar point cloud data and can solve problems such as complex computing
Pending Publication Date: 2022-03-01
苏州思卡信息系统有限公司
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Abstract
The invention provides an automobile radar point cloud data processing method, which comprises the following steps: S1, marking point cloud original data, selecting a corresponding axle number according to different automobile types, taking one part of the marked point cloud data as training data, and taking the other part of the marked point cloud data as test data; s2, performing model training by using the training data in the S1, firstly aligning the point cloud data and performing deep learning iteration training, then aggregating the extracted feature information, and simultaneously performing deep learning iteration training to obtain a trained model; s3, performing model reasoning by using the test data in the S1 and adopting the model trained in the S2, and comparing the predicted axle type output by the model with the marked truth value to obtain a correct rate; and S4, if the accuracy is greater than the set target accuracy, passing, and if the accuracy is less than or equal to the set target accuracy, increasing the number of the marked point cloud data, and circulating the steps S1-S4 until the accuracy is greater than the set target accuracy.
Application Domain
Character and pattern recognitionNeural architectures +2
Technology Topic
EngineeringData processing +6
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