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Lane-level guide line extraction method and system

An extraction method and a guide line technology, applied in the field of high-precision map production, can solve problems such as vehicle damage, inability to express vehicle lane change behavior well, inappropriateness, etc.

Pending Publication Date: 2022-02-08
WUHAN ZHONGHAITING DATA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the scene of lane changes, the centerline method cannot express the lane changing behavior of the vehicle well. In addition, for the leftmost or rightmost outer lane of the road surface, when there are green belts or guardrails nearby, the vehicle is usually not driving. In the center of the lane, it will drive slightly towards the inner side of the road, leaving a certain distance from the outer boundary. For example, large trucks will worry about tree branches in the green belt causing damage to the vehicle.
In the above scenario, it is obviously inappropriate to directly use the lane centerline as the lane guide line

Method used

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  • Lane-level guide line extraction method and system
  • Lane-level guide line extraction method and system
  • Lane-level guide line extraction method and system

Examples

Experimental program
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Effect test

Embodiment 1

[0025] A lane-level guiding line extraction method, see figure 1 , the extraction method consists of:

[0026] S1. Obtain the crowdsourcing trajectory collected by the crowdsourcing collection vehicle, and filter some trajectories that obviously deviate from the road surface.

[0027] Specifically, considering that the lane guidelines are extracted from the trajectories of crowdsourcing vehicles, in order to avoid some accidental driving behaviors from interfering with the lane guideline extraction, it is necessary to filter some trajectories that deviate significantly from the road surface. The embodiment of the invention combines the linear characteristics of the trajectory and the driving direction characteristics of the road, calculates the similarity between the trajectories through FrechetDistance, and realizes the clustering processing of the trajectories through the Mean Shift clustering algorithm, and filters some isolated trajectories that obviously deviate from the ...

Embodiment 2

[0045] see figure 2 , shows the overall flow chart of a lane-level guiding line extraction method. First, the crowdsourcing trajectory is preprocessed, and the trajectory that obviously deviates from the road surface is eliminated; 100m, which is almost the length to complete a lane change) to interrupt the grouping, to avoid restricting the lane change behavior in the middle part of the trajectory when the trajectory is too long, and at the same time extend the segmented trajectory forward and backward for a certain distance K (about 30m); The lane guidelines are aggregated based on the segmented trajectories. At this time, there will be an overlapping area of ​​length K between the guidelines before and after the segmentation. The straight lane guidelines basically overlap and can be directly fused. The lane guidelines with lane changes will be It presents an obvious feature of one change to many or multiple changes to one. The change feature point is also the lane change p...

Embodiment 3

[0047] A structure diagram of a lane-level guiding line extraction system, such as image 3 As shown, the lane-level guiding line extraction system includes an acquisition module filtering module 301, a segmentation module 302, a clustering and grouping module 303, an extraction module 304 and a fusion module 305, wherein:

[0048] The filtering module 301 is used to obtain the crowdsourcing trajectory collected by the crowdsourcing collection vehicle, and to filter some trajectories that obviously deviate from the road surface; the segmentation module 302 is used to filter the filtered trajectory according to the number of lane sidelines or lane change conditions. Segmentation is carried out to obtain a plurality of segmented trajectories; the clustering and grouping module 303 is used to cluster and group a plurality of segmented trajectories, and obtains the trajectories belonging to each lane; the extraction module 304 is used to divide and belong to the same The segmented...

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Abstract

The invention provides a lane-level guide line extraction method and system. The method comprises the following steps: acquiring a crowdsourcing track collected by a crowdsourcing collection vehicle, and carrying out filtering on the part, which is obviously deviated from a road surface, of the track; segmenting the filtered track according to the number of lane sidelines or the change condition of lanes to obtain a plurality of segmented tracks; clustering and grouping the plurality of segmented tracks to obtain tracks belonging to each lane; fitting the segmented tracks belonging to the same lane, and extracting a lane segmentation guide line in each lane; and carrying out continuous fusion processing on the plurality of lane segment guide lines in the same lane to obtain a lane guide line in each lane. According to the scheme, on the basis of the crowdsourcing track, a historical track indicates how an acquisition vehicle safely passes through the lanes, and the extracted lane guide lines are safer and more reliable compared with lane center lines.

Description

technical field [0001] The present invention relates to the field of high-precision map production, and more specifically, to a lane-level guiding line extraction method and extraction system. Background technique [0002] At present, a very important application of crowdsourcing high-precision maps in the field of autonomous driving is to provide intelligent driving vehicles with lane guidance lines representing driving behavior, and assist intelligent driving vehicles to complete automatic driving in scenarios such as lane changes. In the crowdsourcing mode, when the collection vehicle perceives the printed lines and POIs on the road surface, it will generate a large number of trajectories at the same time. Refining and abstracting the driving behavior of an "old driver". [0003] At present, a common method in the industry is to directly use the center line of the lane surface as the lane guide line. However, in the scene of lane changes, the centerline method cannot ex...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/05G06K9/62G06F16/29G06V10/764G06V10/762
CPCG06T17/05G06F16/29G06F18/23G06F18/241
Inventor 覃飞杨尹玉成石涤文蔡晨刘奋
Owner WUHAN ZHONGHAITING DATA TECH CO LTD