Huawei Yunpan Gu Da Model Is Evaluated Through A Trusted AI Car Model

7moon11Japanese news, recently the credible organization organized by Xintong InstituteAIIn the first round of evaluation of the car model, Huawei Yunpan Gu's big model successfully completed the evaluation and obtained4+The level certificate has become the first major industry model that has passed this evaluation and obtained the current highest rating.

It is reported that the big model of Huawei Yunpangu Automobile is2023The first conference of the year was released for the first time, covering business scenarios such as automotive design, production, marketing, and research and development.

Last month, Huawei Developers Conference2024The newly upgraded Pangu big model was released on the top5.0, Reshape the development of autonomous driving, better understand the world through technological innovation, and generate autonomous driving training videos.

Huawei said that Pangu Automobile's big model has continued to cultivate the industry in the past year, and has covered the automotive business20MultipleL2Scenes have penetrated into multiple links such as automobile production, autonomous driving development, smart cockpit development, intelligent marketing, and product after -sales.

In the field of autonomous driving, through innovative controllable time and space generation technology, combined with scene video generation,4D BEVVideo generation, autonomous driving simulation library and road network information can better understand the laws of physical laws, and drive video data with the same large -scale generation as the actual scenes.

In addition, the control conditions can be flexibly increased, and the training video data of different road conditions, different lights, and different weather can be generated to accelerate the rapid maturity of autonomous driving technology.

In the production quality inspection scene, based on PanguCVThe industrial visual platform can cover support, including appearance detection, quality leveling, intelligent sorting and other scenarios, so that the number of small models can converge1/10, Improve algorithm accuracy.

Continuously and continuously learning iterations to achieveAIQuality inspection from the center to the edge, the full life cycle is deployed.

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