Method, apparatus, device and readable storage medium for planning pass path

US2020184824A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2020184824-A1
Application numberUS-201916704005-A
CountryUS
Kind codeA1
Filing dateDec 5, 2019
Priority dateDec 5, 2018
Publication dateJun 11, 2020
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

The present disclosure provides a method, an apparatus, a device and a readable storage medium for planning a pass path. The method includes: acquiring current road environment information in front of a vehicle; setting pass candidate points according to the current road environment information and a driving strategy; and determining a current optimal passable path according to the pass candidate points. Since the pass candidate points are set according to the current road environment information and the driving strategy, and the current optimal passable path is determined according to the pass candidate points, thereby effectively decreasing the calculation amount of the impassable path calculation in prior art due to direct setting of pass candidate points in all areas in front of an unmanned vehicle.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method for planning a pass path, comprising: acquiring current road environment information in front of a vehicle; setting pass candidate points according to the current road environment information and a driving strategy; and determining a current optimal passable path according to the pass candidate points. 2 . The method according to claim 1 , wherein the setting pass candidate points according to the current road environment information and a driving strategy comprises: determining a current passable area according to the road environment information; and setting the pass candidate points in the current passable area according to the driving strategy. 3 . The method according to claim 2 , wherein after the determining a current passable area according to the road environment information, further comprises: when there is a plurality of current passable areas, determining a current optimal passable area in the current passable areas according to an optimal area selection strategy; accordingly, the setting pass candidate points in the current passable area according to the driving strategy comprises: setting the pass candidate points in the current optimal passable area according to the driving strategy. 4 . The method according to claim 3 , wherein the current road environment information comprises: moving vehicle obstacle information and lane line information; the setting pass candidate points in the current optimal passable area according to the driving strategy comprises: setting pass candidate points with a first density in a car-following area located in a rear side of a moving vehicle obstacle in the current optimal passable area; setting pass candidate points with a second density in an overtaking area located in left, right and front sides of the moving vehicle obstacle in the current optimal passable area; setting pass candidate points with a third density in a free driving space area of the current optimal passable area; wherein the first density is greater than the second density, and the second density is greater than the third density. 5 . The method according to claim 2 , wherein the determining a current passable area according to the road environment information comprises: determining multiple current passable subareas from a current starting position to a current target position according to the current road environment information; and determining at least one current passable area according to the multiple current passable subareas sequentially arranged from the current starting position to the current target position. 6 . The method according to claim 1 , wherein the current road environment information comprises: moving vehicle obstacle information and lane line information; the setting pass candidate points in the current optimal passable area according to the driving strategy comprises: setting pass candidate points with a first density in a car-following area located in a rear side of a moving vehicle obstacle; setting pass candidate points with a second density in an overtaking area located in left, right and front sides of the moving vehicle obstacle; setting pass candidate points with a third density in a free driving space area; wherein the first density is greater than the second density, and the second density is greater than the third density. 7 . The method according to claim 1 , wherein the determining a current optimal passable path according to the pass candidate points comprises: calculating multiple current passable paths according to the pass candidate points; and determining the current optimal passable path from the multiple current passable paths according to an optimal path selection strategy. 8 . The method according to claim 7 , wherein the calculating multiple current passable paths according to the pass candidate points comprises: calculating the multiple current passable paths with a path determining algorithm according to the pass candidate points. 9 . The method according to claim 7 , wherein the determining a current optimal passable path from the multiple current passable paths according to an optimal path selection strategy comprises: comparing the multiple current passable paths according to a preset metric; and selecting a current passable path with an optimal preset metric from the multiple current passable paths as the current optimal passable path. 10 . The method according to claim 9 , wherein the optimal metric comprises any one or more of the following metrics: a security metric, a fuel consumption metric and a comfortability metric. 11 . The method according to claim 9 , wherein after the selecting a current passable path with an optimal preset metric from multiple current passable paths as the current optimal passable path, further comprising: outputting a driving strategy corresponding to the current optimal passable path; and controlling driving of the vehicle according to the current optimal passable path and a corresponding driving strategy. 12 . An apparatus for planning a pass path, comprising: a memory, a processor and a computer program; wherein the computer program is stored in the memory, and is configured to be executed by the processor to cause the processor to: acquire current road environment information in front of a vehicle; set pass candidate points according to the current road environment information and a driving strategy; and determine a current optimal passable path according to the pass candidate points. 13 . The apparatus according to claim 12 , wherein the computer program is configured to be executed by the processor to cause the processor to: determine a current passable area according to the road environment information; and set the pass candidate points in the current passable area according to the driving strategy. 14 . The apparatus according to claim 13 , wherein the computer program is configured to be executed by the processor to further cause the processor to: when there is a plurality of current passable areas, determine a current optimal passable area in the current passable areas according to an optimal area selection strategy; and set the pass candidate points in the current optimal passable area according to the driving strategy. 15 . The apparatus according to claim 14 , wherein the current road environment information comprises: moving vehicle obstacle information and lane line information; the computer program is configured to be executed by the processor to cause the processor to: set pass candidate points with a first density in a car-following area located in a rear side of a moving vehicle obstacle in the current optimal passable area; set pass candidate points with a second density in an overtaking area located in left, right and front sides of the moving vehicle obstacle in the current optimal passable area; set pass candidate points with a third density in a free driving space area of the current optimal passable area; wherein the first density is greater than the second density, and the second density is greater than the third density. 16 . The apparatus according to claim 13 , wherein the computer program is configured to be executed by the processor to cause the processor to: determine multiple current passable subareas from a current starting position to a current target position according to the current road environment information; and determine at least one current passable area according to the multiple current passable subareas sequentially arranged f

Assignees

Inventors

Classifications

  • exterior to a vehicle by using sensors mounted on the vehicle · CPC title

  • for active traffic, e.g. moving vehicles, pedestrians, bikes · CPC title

  • Longitudinal distance · CPC title

  • Lateral distance · CPC title

  • Road markings, e.g. lane marker or crosswalk · CPC title

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What does patent US2020184824A1 cover?
The present disclosure provides a method, an apparatus, a device and a readable storage medium for planning a pass path. The method includes: acquiring current road environment information in front of a vehicle; setting pass candidate points according to the current road environment information and a driving strategy; and determining a current optimal passable path according to the pass candida…
Who is the assignee on this patent?
Beijing Baidu Netcom Sci & Tech Co Ltd
What technology area does this patent fall under?
Primary CPC classification G08G1/167. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jun 11 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).