Vision guided shortest path estimation using floodfill algorithm for mobile robot applications
In a number of applications, the problem of determining the optimum path occurs, to be specific we shall look at the case of finding the optimum path for mobile robots. This paper presents a shortest path estimation scheme utilizing the overhead video capturing device, for mobile robot path planning...
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| creator | Patel, A. Dubey, A. Pandey, A. Choubey, S. D. |
| description | In a number of applications, the problem of determining the optimum path occurs, to be specific we shall look at the case of finding the optimum path for mobile robots. This paper presents a shortest path estimation scheme utilizing the overhead video capturing device, for mobile robot path planning. The presented scheme applies the floodfill technique to evaluate shortest path on the maze of dimension (7×7 junction wise). The overhead camera takes continuous snapshot of the maze and accordingly the path planning and computations are done. All the complex calculations and shortest path evaluations are accomplished using MATLAB®. The simulation results that have been taken shows, the mobile robot travels successfully from starting point and reaching its goal point. All obstacles that are located in its way have been avoided and shortest path estimation is done successfully. |
| doi_str_mv | 10.1109/ICPCES.2012.6508081 |
| format | Conference Proceeding |
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The simulation results that have been taken shows, the mobile robot travels successfully from starting point and reaching its goal point. 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D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-ef5d1a94bfc7c15952e4422a1f0e5ddfffd7d6ef98208341ae385c9658d0266f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adaptive algorithm</topic><topic>Computer simulation</topic><topic>Image processing</topic><topic>MATLAB</topic><topic>Object detection</topic><topic>Robot control</topic><topic>Shortest path problem</topic><topic>Software algorithms</topic><toplevel>online_resources</toplevel><creatorcontrib>Patel, A.</creatorcontrib><creatorcontrib>Dubey, A.</creatorcontrib><creatorcontrib>Pandey, A.</creatorcontrib><creatorcontrib>Choubey, S. D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Patel, A.</au><au>Dubey, A.</au><au>Pandey, A.</au><au>Choubey, S. 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The overhead camera takes continuous snapshot of the maze and accordingly the path planning and computations are done. All the complex calculations and shortest path evaluations are accomplished using MATLAB®. The simulation results that have been taken shows, the mobile robot travels successfully from starting point and reaching its goal point. All obstacles that are located in its way have been avoided and shortest path estimation is done successfully.</abstract><pub>IEEE</pub><doi>10.1109/ICPCES.2012.6508081</doi><tpages>3</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive algorithm Computer simulation Image processing MATLAB Object detection Robot control Shortest path problem Software algorithms |
| title | Vision guided shortest path estimation using floodfill algorithm for mobile robot applications |
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