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Method for detecting clear path through topography change

A change analysis, smooth technology, applied in image analysis, traffic control system, road network navigator and other directions, can solve the problems of slow speed, large amount of processing power, cumbersome and so on

Active Publication Date: 2013-05-29
GM GLOBAL TECH OPERATIONS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method is effective in identifying clear paths, it requires a lot of processing power, for example, to distinguish and classify different objects in the visual image, such as distinguishing a tree on the side of the road from a pedestrian walking towards the curb
These methods are slow or ineffective when dealing with complex situations, or require bulky and expensive equipment to provide the necessary processing power

Method used

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  • Method for detecting clear path through topography change
  • Method for detecting clear path through topography change
  • Method for detecting clear path through topography change

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Embodiment approach

[0057] After filtering, feature extraction is performed on the selected patches using a feature extraction algorithm (208). A feature extraction algorithm may analyze the selected patch for predetermined features and / or shapes, where predetermined features include, for example, edges, corners, and blemishes; shapes include, for example, circles, ellipses, and lines. Recognizing that some features are meaningful while others are not, the process of selecting features can be used to identify the best set of features for analysis. The classifier training algorithm analyzes each feature and assigns a probability value (210). As mentioned above, the classifiers or logic used in the derivation of probability values ​​are initially trained offline. Training can optionally continue in the vehicle based on fuzzy logic, neural networks, or other learning mechanisms known in the art. These trained classifiers perform a probability analysis based on the extracted features and determine ...

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Abstract

The method involves monitoring an image from a camera (110), and analyzing the image through clear path detection analysis to determine a clear path of travel within the image. An area in front of a vehicle (100) is analyzed by utilizing a topographical variation analysis to determine a flat surface upon which the vehicle is made to travel. The clear path of travel and determined flat surface are combined to describe an enhanced clear path of travel. The enhanced clear path of travel is utilized to navigate the vehicle. An independent claim is also included for a system for detecting a clear path of travel for a vehicle.

Description

[0001] This application is a continuation-in-part of U.S. Application No. 12 / 581,659, filed October 19, 2009, which is a continuation-in-part of U.S. Application No. 12 / 474,594, filed May 29, 2009 application, which is a continuation-in-part of US Application No. 12 / 108,581 filed April 24, 2008. US Application No. 12 / 581,659, filed October 19, 2009, claims priority to US Provisional Application No. 61 / 215,745, filed May 8, 2009. US Application No. 12 / 581,659, US Application No. 12 / 474,594, US Application No. 12 / 108,581, and US Provisional Application No. 61 / 215,745 are incorporated herein by reference. technical field [0002] The invention relates to automatic or semi-automatic control of motor vehicles. Background technique [0003] The statements in this section merely provide background information related to the present disclosure and may not constitute prior art. [0004] Autonomous and semi-autonomous driving systems use inputs related to road conditions and other d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C21/34G06T7/00
CPCG06K9/00798B60W30/00B60W2420/42G08G1/16G08G1/165G08G1/166G06V20/588
Inventor W·张S·M·奈克
Owner GM GLOBAL TECH OPERATIONS LLC
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