Robot autonomous navigation based on multi-sensor global calibrated

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Yanjun Yang and Zhongfan Xiang and Qiang Wang and 
                 Zaixin Liu",
  title =        "Robot autonomous navigation based on multi-sensor
                 global calibrated",
  booktitle =    "International Conference on Computer Application and
                 System Modeling (ICCASM 2010)",
  year =         "2010",
  month =        oct,
  volume =       "3",
  pages =        "V3--706--V3--710",
  abstract =     "Aiming at the robot problems such as little relevance,
                 low accuracy of the simultaneous localisation and map
                 building (SLAM) and easy locking, lack of initiative of
                 the navigation system, the multi-sensor vision system
                 is introduced, and then unifying the data of each
                 sensor by world coordinate system of global calibration
                 based on the local calibration of each vision sensor
                 module, a serial of local maps are combined into a
                 global map by the derive of Least-Square (LS).
                 Preprocessing of the global map data is done by the
                 genetic programming (GP) arithmetic and inference is
                 done with the delta fuzzy rule to plan the best routine
                 to achieve robotic autonomous navigation. Simulation
                 results show that the robot can create accurate and
                 complete map of the environment and bypass the
                 obstacles agilely to reach the destination smoothly and
                 reliably with the map. Thus the feasibility and
                 effectiveness of this strategy is verified.",
  keywords =     "genetic algorithms, genetic programming, GP, SLAM,
                 fuzzy rule delta, least square methods, multisensor
                 global calibrated, multisensor vision system, robot
                 autonomous navigation, robot problems, simultaneous
                 localization and map building, SLAM (robots), least
                 squares approximations, path planning",
  DOI =          "doi:10.1109/ICCASM.2010.5620743",
  notes =        "College of Mechanical Engineering and Automation Xihua
                 University Chengdu, China. Also known as

Genetic Programming entries for Yanjun Yang Zhongfan Xiang Qiang Wang Zaixin Liu