Automatic driving data intelligent labeling method, system and device and storage medium
By collaboratively processing autonomous driving data through deep belief networks and convolutional neural networks, combined with generative adversarial networks and dynamic attention mechanisms, the problems of insufficient flexibility and high consumption of computing resources in existing technologies are solved, and efficient and adaptive autonomous driving data labeling is achieved.
CN120673365APending Publication Date: 2025-09-19CHONGQING ENERGY COLLEGE
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Patent Information
- Application Number
- CN202510769478.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-10
- Publication Date
- 2025-09-19
Smart Images
Figure CN120673365A_ABST
Abstract
The invention relates to the technical field of automatic driving, in particular to an automatic driving data intelligent labeling method, system and device and a storage medium. The automatic driving data intelligent labeling method comprises the following steps: acquiring automatic driving data; the automatic driving data are input into the intelligent labeling model, the intelligent labeling model generates an automatic driving scene three-dimensional point cloud model according to the automatic driving data and analyzes the automatic driving scene three-dimensional point cloud model to determine a target object in the automatic driving scene and a label corresponding to the target object, a labeling result is output, and the target object is an object related to automatic driving of the vehicle. According to the invention, the accuracy of a target object identification result in a complex scene and the accuracy of a target object label prediction result can be improved.
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