SVM-based discriminative accumulation scheme for place recognition

  title={SVM-based discriminative accumulation scheme for place recognition},
  author={Andrzej Pronobis and {\'O}scar Mart{\'i}nez Mozos and Barbara Caputo},
  journal={2008 IEEE International Conference on Robotics and Automation},
Integrating information coming from different sensors is a fundamental capability for autonomous robots. For complex tasks like topological localization, it would be desirable to use multiple cues, possibly from different modalities, so to achieve robust performance. This paper proposes a new method for integrating multiple cues. For each cue we train a large margin classifier which outputs a set of scores indicating the confidence of the decision. These scores are then used as input to a… CONTINUE READING
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