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Neural network model training method and device and sensing data fusion method and device

A neural network model and sensor data technology, applied in the field of computer-aided driving, can solve the problem that fusion methods cannot adapt to long-tail scenarios

Active Publication Date: 2021-11-05
BEIJING HORIZON INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In assisted driving or automatic driving applications, it is often necessary to perform perception post-processing based on the fusion of on-board cameras and lidars, and the fusion methods in related technologies cannot adapt to long-tail scenarios

Method used

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  • Neural network model training method and device and sensing data fusion method and device
  • Neural network model training method and device and sensing data fusion method and device
  • Neural network model training method and device and sensing data fusion method and device

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Embodiment Construction

[0031] Hereinafter, exemplary embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present disclosure, rather than all the embodiments of the present disclosure, and it should be understood that the present disclosure is not limited by the exemplary embodiments described here.

[0032] It should be noted that relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

[0033] Those skilled in the art can understand that terms such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different steps, devices or modules, etc. necessary logical sequence.

[0034] It should also be understood that in the embodiments of the present disclosure, "...

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Abstract

The embodiment of the invention discloses a neural network model training method and device for sensing data fusion, a sensing data fusion method and device based on a neural network model, electronic equipment and a storage medium. The neural network model training method for sensing data fusion comprises the following steps: constructing training data based on a sample image and a sample three-dimensional point cloud data set; and training an initial neural network model based on the training data to obtain a trained neural network model. According to the embodiment of the invention, the neural network model can be better and continuously iteratively optimized based on the sample data of the long-tail scene.

Description

technical field [0001] The present disclosure relates to computer-aided driving technology, in particular to a neural network model training method and device for sensory data fusion, a neural network model-based sensory data fusion method and device, electronic equipment, and a storage medium. Background technique [0002] In assisted driving or automatic driving applications, it is often necessary to perform perception post-processing based on the fusion of on-board cameras and lidars, and the fusion methods in related technologies cannot adapt to long-tail scenarios. [0003] Therefore, how to provide a sensor fusion scheme that can be iteratively optimized based on long-tail scenarios has become an urgent problem to be solved. Contents of the invention [0004] In order to solve the above-mentioned technical problems, the present disclosure is proposed. Embodiments of the present disclosure provide a neural network model training method and device for sensory data fus...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/251G06F18/214Y02T10/40
Inventor 张家馨隋伟梅若鸿张骞黄畅
Owner BEIJING HORIZON INFORMATION TECH CO LTD
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