DocumentCode
124583
Title
Automatic path planning and navigation with stereo cameras
Author
Shenlu Jiang ; Zhonghua Hong ; Yun Zhang ; Yanling Han ; Ruyan Zhou ; Bo Shen
Author_Institution
Inf. Technol. Coll., Shanghai Ocean Univ., Shanghai, China
fYear
2014
fDate
11-14 June 2014
Firstpage
289
Lastpage
293
Abstract
Aiming at the scarcity of research of vehicle´s navigation in non-signal environment, this paper prevents an approach of automatic path planning and navigation by two stereo cameras. Our approach is consist of three major steps. The first issue is stereo cameras calibration, to get parameters of camera. And then, SGM (Semi-Global Matching) algorithm, contribute in this part in order to get precise 3-Demotional landform. With the landform information, robot can relocate itself by comparing the landform got from satellite image in advance, in addition, avoiding unknown obstacles. Finally, vehicle followed path planned by A-star algorithm dynamically. The experiment shows that stereo cameras algorithm can accurately reconstruct 3-Dimentional landform, which directly make vehicle reorient itself accurately, therefore vehicle runs on the optimized path, navigation carry out successfully.
Keywords
cameras; collision avoidance; image reconstruction; mobile robots; navigation; robot vision; stereo image processing; 3D landform reconstruction; A-star algorithm; SGM algorithm; automatic path planning; camera parameters; landform information; nonsignal environment; path optimization; robot relocation; satellite image; semiglobal matching algorithm; stereo camera algorithm; stereo camera calibration; unknown obstacle avoidance; vehicle navigation; vehicle reorientation; Calibration; Cameras; Educational institutions; Navigation; Stereo vision; Valves; Vectors; Navigation; Semi Global Matching (SGM); Stereo Vision; path planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
Conference_Location
Changsha
Print_ISBN
978-1-4799-5757-6
Type
conf
DOI
10.1109/EORSA.2014.6927897
Filename
6927897
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