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Autonomous prediction lane information model training method and device

An information model and lane technology, applied in the field of artificial intelligence, can solve problems such as lane matching

Pending Publication Date: 2022-03-11
云控智行(上海)汽车科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention provides a method and device for autonomously predicting lane information model training, which solves the problem that lanes cannot be matched due to lack of lane information

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  • Autonomous prediction lane information model training method and device
  • Autonomous prediction lane information model training method and device
  • Autonomous prediction lane information model training method and device

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Embodiment Construction

[0070] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0071] It should be noted that the terms "include" and "have" and any variations thereof in the embodiments of the present invention and the drawings are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally further includes For other steps or units inhe...

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Abstract

The embodiment of the invention discloses an autonomous prediction lane information model training method and device, and the method comprises the steps: obtaining historical vehicle state information and historical lane information, enabling the historical lane information to correspond to the historical vehicle state information, and enabling the historical vehicle state information to comprise historical vehicle high-precision positioning information and historical vehicle motion information; the historical lane information is position information of a lane through which the vehicle passes; according to the historical vehicle state information, the historical lane information and a first loss function, a first model is trained, the first model is a long-short-term memory recurrent neural network model, the first model is used for autonomously predicting the position information of a lane where the vehicle is about to pass, and the first model is trained by using a time-based back propagation algorithm; the first loss function is a minimum mean square error loss function. The problem that the lane cannot be matched due to the lack of the lane information is solved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a training method and device for an autonomous prediction lane information model. Background technique [0002] In automatic driving or vehicle-road coordination systems, many vehicle-side application models require smart vehicles or smart vehicle terminals to clarify the lane in which the vehicle is located, so that the real-time lane position of the vehicle can be used as the starting point for subsequent models. The vehicle-side application models, for example, vehicle Acceleration and deceleration control model, vehicle lane change model, etc. [0003] The basic idea of ​​vehicle lane matching is to match the high-precision positioning of the vehicle itself with the high-precision map information of the vehicle, because the data volume of high-precision map data is much larger than the existing map data, and there are many differences in the driving po...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G06F16/29
CPCG06N3/084G06F16/29G06N3/044G06F18/214
Inventor 宦涣蔡炎尹伯华蔡慧星
Owner 云控智行(上海)汽车科技有限公司
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