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Author:

Wang, Ke (Wang, Ke.) | Jia, Songmin (Jia, Songmin.) (Scholars:贾松敏) | Li, Yuchen (Li, Yuchen.) | Li, Xiuzhi (Li, Xiuzhi.) | Guo, Bing (Guo, Bing.)

Indexed by:

CPCI-S

Abstract:

Multi-robotic system is widely used in exploring in large-scale unknown environment and performing the complex tasks. This paper presents a method of local map merging for Multi-robotic system using RTM as communication platform. We integrate Scale-Invariant Feature Transform (SIFT) feature matching information with iterative closest point (ICP) algorithm to realize the local map merging. We use the USARSim as simulation platform to realize topological map and map merging for the environment in which mobile robots moving using the proposed method. The paper details the architecture of the proposed method and gives some experiments to verify the effectiveness.

Keyword:

ICP RTM map merging SIFT Multi-robotic system

Author Community:

  • [ 1 ] [Wang, Ke]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 2 ] [Jia, Songmin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 3 ] [Li, Yuchen]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 4 ] [Li, Xiuzhi]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 5 ] [Guo, Bing]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China

Reprint Author's Address:

  • [Wang, Ke]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China

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Source :

PROCEEDING OF THE IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION

Year: 2012

Page: 156-161

Language: English

Cited Count:

WoS CC Cited Count: 10

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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