Modeling a Dynamic Environment Using a Bayesian Multiple Hypothesis Approach

@article{Cox1994ModelingAD,
  title={Modeling a Dynamic Environment Using a Bayesian Multiple Hypothesis Approach},
  author={Ingemar J. Cox and John J. Leonard},
  journal={Artif. Intell.},
  year={1994},
  volume={66},
  pages={311-344}
}
Cox, I.J., and J.J. Leonard, Modeling a dynamic environment using a Bayesian multiple hypothesis approach, Artificial Intelligence 66 (1994) 311-344. Dynamic world modeling requires the integration of multiple sensor observations obtained from multiple vehicle locations at different times. A crucial problem in this interpretation task is the presence of uncertainty in the origins of measurements (data association or correspondence uncertainty) as well as in the values of measurements (noise… CONTINUE READING
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