Sensor Registration for Robotic Applications

  • Alen Alempijevic
  • Sarath Kodagoda
  • Gamini Dissanayake
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 42)


Multi-sensor data fusion plays an essential role in most robotic applications. Appropriate registration of information from different sensors is a fundamental requirement in multi-sensor data fusion. Registration requires significant effort particularly when sensor signals do not have direct geometric interpretations, observer dynamics are unknown and occlusions are present. In this paper, we propose Mutual Information (MI) based sensor registration which exploits the effect of a common cause in the observed space on the sensor outputs that does not require any prior knowledge of relative poses of the observers. Simulation results are presented to substantiate the claim that the algorithm is capable of registering the sensors in the presence of substantial observer dynamics.


Mutual Information Robotic Application Sequential Probability Ratio Test Sensory Space Maneuvering Target 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Alen Alempijevic
    • 1
  • Sarath Kodagoda
    • 1
  • Gamini Dissanayake
    • 1
  1. 1.ARC Centre of Excellence for Autonomous Systems (CAS), Faculty of EngineeringUniversity of Technology SydneyAustralia

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