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Drivable area detection model training method, detection method and device

A technology of driving area and detection model, which is applied in the field of image processing, can solve the problems that affect the detection efficiency and accuracy, and cannot make full use of the model learning ability, so as to achieve the effect of improving detection efficiency and detection accuracy

Active Publication Date: 2020-08-18
BEIJING MOMENTA TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The perception module and the control module do not directly communicate with each other, and the learning ability of the model cannot be fully utilized, which affects the detection efficiency and detection accuracy

Method used

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  • Drivable area detection model training method, detection method and device
  • Drivable area detection model training method, detection method and device
  • Drivable area detection model training method, detection method and device

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Embodiment Construction

[0074] With the development of science and technology, emerging concepts such as autonomous driving and unmanned vehicles have emerged as the times require. The traditional driving method requires human control of the vehicle to drive according to the drivable area, but in the field of automatic driving, the vehicle can be preset with an intelligent system to automatically identify the current drivable area of ​​the vehicle. Specifically, the camera of the vehicle can capture the road conditions of the road where the vehicle is currently located, and use image processing technology to identify the captured road image to obtain the drivable area of ​​the vehicle, thereby guiding the driving of the vehicle.

[0075] Using the traditional image segmentation technology to process the road image, the outline of the drivable area can be obtained at the pixel level. However, the perception module uses image segmentation technology to process road images, and the output result map is ...

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Abstract

The embodiment of the present application discloses a training method for a drivable area detection model. The road sample image is obtained, and the drivable area is marked in the road sample image. The road sample image is input into the pre-established initial neural network model, and the road sample image is used to A supervised learning method is used to train the initial neural network model to obtain a drivable area detection model. Based on the drivable area detection model, this application also provides a drivable area detection method, which inputs the current road image into the drivable area detection model, and the drivable area detection model can directly learn from the current road image and output structured Drivable area information. Compared with the traditional image segmentation technology, this application can make full use of the learning ability of the model, and improve the detection efficiency and detection accuracy of the drivable area.

Description

technical field [0001] The present application relates to the field of image processing, and in particular to a training method for a drivable area detection model, a drivable area detection method and a device. Background technique [0002] As intelligent systems are applied to the field of vehicle driving, more and more vehicles are equipped with intelligent systems that can realize automatic driving functions or assisted driving functions. In order to realize the automatic driving function or assisted driving function, the intelligent system on the vehicle usually needs to recognize the drivable area from the road image around the vehicle, so as to guide the driving of the vehicle. [0003] The existing drivable area detection technology mainly uses the traditional image segmentation technology to obtain the outline of the drivable area at the pixel level. Specifically, an image is input, and a result map of the same size is output through image segmentation technology. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/02
CPCG06N3/02G06V20/588G06F18/214
Inventor 梁继夏炎
Owner BEIJING MOMENTA TECH CO LTD
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