Method for Automatically Carrying Out Safety Measures When a Vehicle Drives on a Shoulder, Electronic Vehicle Guidance System, and Vehicle
US-2024367602-A1 · Nov 7, 2024 · US
US2016148061A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016148061-A1 |
| Application number | US-201615012774-A |
| Country | US |
| Kind code | A1 |
| Filing date | Feb 1, 2016 |
| Priority date | Jan 8, 2013 |
| Publication date | May 26, 2016 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
A lane identification method for identifying a lane whereon a vehicle is traveling, which includes: providing a drive video; generating an identification result of recognizing a plurality of lane lines corresponding to the line according the drive video, wherein the identification result is generated based on inside borderlines of the lane lines; and determining the lane according to the identification result.
Opening claim text (preview).
What is claimed is: 1 . A lane identification method for identifying a lane whereon a vehicle is traveling, comprising: providing a drive video; generating an identification result of recognizing a plurality of lane lines corresponding to the line according the drive video, wherein the identification result is generated based on inside borderlines of the lane lines; and determining the lane according to the identification result. 2 . The lane identification method of claim 1 , wherein the step of generating the identification result comprises: generating a processed drive video which includes a plurality of objects. 3 . The lane identification method of claim 2 , wherein the step of generating the processed drive video comprises: performing a pre-processing operation upon the drive video, which selects the objects from the drive video that meet a specific brightness requirement and a specific geometry requirement. 4 . The lane identification method of claim 2 , wherein the step of generating the identification result comprises: determining a video central axis of the processed drive video; selecting a plurality of candidate lane line segments from the objects according to the video central axis; and generating the identification result according to the plurality of candidate lane line segments. 5 . The lane identification method of claim 4 , wherein the step of selecting the plurality of candidate lane line segments from the objects according to the video central axis comprises: when there is no other object between an inside borderline of a specific object of the objects and the video central axis, determining that the specific object is one of the candidate lane line segments. 6 . The lane identification method of claim 5 , wherein the step of determining that the specific object is one of the candidate lane line segments comprises: when the specific object is located at a left side of the video center axis, determining the specific object is one of candidate the lane line segments if there is no other object between a right borderline of the specific object and the video central axis; and when the specific object is located at a right side of the video center axis, determining the specific object is one of the candidate lane line segments if there is no other object between a left borderline of the specific object and the video central axis. 7 . The lane identification method of claim 4 , wherein the step of generating the identification result according to the candidate lane line segments comprises: checking if there is any specific geometric relationship between the candidate lane line segments; and treating the candidate lane line segments as a lane line when there is specific geometric relationship between the candidate lane line segments. 8 . The lane identification method of claim 7 , wherein the specific geometric relationship comprises angle relationship with respect to the video central axis and neighboring relationship with respect to other candidate lane line segments. 9 . A lane identification apparatus for identifying a lane whereon a vehicle is traveling, comprising: an identification module, for generating an identification result of recognizing a plurality of lane lines corresponding to the line according a drive video, wherein the identification result is generated based on inside borderlines of the lane lines; and a determination module, coupled to the identification module, for determining the lane according to the identification result. 10 . The lane identification apparatus of claim 9 , further comprising: a video processing module, for generating a processed drive video which includes a plurality of objects. 11 . The lane identification apparatus of claim 10 , wherein the video processing module performs a pre-processing operation upon the drive video, which selects the objects from the drive video that meet a specific brightness requirement and a specific geometry requirement. 12 . The lane identification apparatus of claim 10 , wherein the identification module determines a video central axis of the processed drive video; selects a plurality of candidate lane line segments from the objects according to the video central axis; and generates the identification result according to the plurality of candidate lane line segments. 13 . The lane identification apparatus of claim 12 , wherein the identification module determines a specific object is one of the candidate lane line segments when there is no other object between an inside borderline of a specific object of the objects and the video central axis. 14 . The lane identification apparatus of claim 13 , wherein: when the specific object is located at a left side of the video center axis, the identification module determines the specific object is one of candidate the lane line segments if there is no other object between a right borderline of the specific object and the video central axis; and when the specific object is located at a right side of the video center axis, the identification module determines the specific object is one of the candidate lane line segments if there is no other object between a left borderline of the specific object and the video central axis. 15 . The lane identification apparatus of claim 12 , wherein the identification module checks if there is any specific geometric relationship between the candidate lane line segments; treats the candidate lane line segments as a lane line when there is specific geometric relationship between the candidate lane line segments. 16 . The lane identification apparatus of claim 15 , wherein the specific geometric relationship comprises angle relationship with respect to the video central axis and neighboring relationship with respect to other candidate lane line segments.
Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road · CPC title
Driving aids for lane monitoring, lane changing, e.g. blind spot detection · CPC title
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Related publications grouped by family.
Answers are generated from the same data shown on this page.