Autonomous obstacle-avoiding planning method of tour detector based on binocular stereo vision

A binocular stereo vision and detector technology, applied in instruments, two-dimensional position/channel control, image data processing, etc., can solve the problem of low efficiency of autonomous obstacle avoidance planning, lack of completeness of path planning, and too simple model, etc. question

Active Publication Date: 2012-06-27
BEIJING INST OF CONTROL ENG
View PDF5 Cites 51 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These planning methods have different shortcomings in application. The environment model established by the Bug algorithm is a binary map, which is too simple to be suitable for planning on rough and complex terrain; the Morphin algorithm only considers the safety of the terrain. The...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Autonomous obstacle-avoiding planning method of tour detector based on binocular stereo vision
  • Autonomous obstacle-avoiding planning method of tour detector based on binocular stereo vision
  • Autonomous obstacle-avoiding planning method of tour detector based on binocular stereo vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The basic idea of ​​the present invention is to use the image parallax data processed by the binocular stereo vision system to perform three-dimensional restoration, obtain the original DEM of the local terrain, and perform denoising processing on the original DEM; Terrain passability analysis to obtain a suitability map for obstacle avoidance planning; evaluate the alternative path arcs on the suitability map, and if there is a safe path, select the alternative path arc with the highest evaluation value as the avoidance path arc. result of disability planning.

[0059] Such as figure 1 Shown, the present invention realizes steps as follows:

[0060] (1) Generate DEM data of local terrain

[0061] According to the principle of binocular stereo vision imaging, using the disparity data obtained by image matching, first calculate the three-dimensional coordinates (x c ,y c ,z c ); According to the installation position of the binocular stereo vision system on the patr...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

An autonomous obstacle-avoiding planning method of a tour detector based on a binocular stereo vision is characterized by: generating DEM data of a local topography; constructing a raster map of a field range of a binocular stereo vision system, carrying out DEM data statistics to each grid in the map and carrying out de-noising processing to the DEM; carrying out topography traversability analysis so as to generate a suitability map; using the suitability maps generated during back and forth two planning to carry out data fusion and obtaining the fused suitability map which is used in the obstacle-avoiding planning; placing several alternative path arcs on the suitability map; evaluating the each alternative path arc from two aspects of a distance from the alternative path arc to a target point and a safe obstacle-avoiding ability; selecting the alternative path arcs whose evaluation values are higher a setting threshold from all the alternative path arcs and selecting the path arc who has the highest evaluation value as a result of the obstacle-avoiding planning. The method of the invention is simple and complete. Security is high. Planning efficiency is high. Engineering realization is easy to be achieved. The method can be used to perform a tour detection task of a complex terrain.

Description

technical field [0001] The invention relates to an autonomous obstacle avoidance planning method, which is suitable for autonomous obstacle avoidance planning of patrol detectors in a type of complex unknown terrain. Background technique [0002] Autonomous obstacle avoidance planning is a branch in the research field of mobile robot path planning. The so-called path planning refers to finding a safe and non-collision movement path for the mobile robot from the starting point to the target point in an environment with obstacles. The research of path planning generally involves two problems of environment description and path search. Among them, environment description refers to how to effectively express the environment in which the robot lives, and establishes an environment model that can be used for planning; path search refers to using an effective method to search for a suitable path from the established environment model. [0003] According to the different degree of...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G05D1/02G06T17/05
Inventor 刘祥邢琰滕宝毅贾永毛晓艳
Owner BEIJING INST OF CONTROL ENG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap