A Bayesian classification of pedestrians in urban areas: The importance of the data preprocessing

@article{Pangop2008ABC,
  title={A Bayesian classification of pedestrians in urban areas: The importance of the data preprocessing},
  author={Laurence Ngako Pangop and S{\'e}bastien Cornou and Fr{\'e}d{\'e}ric Chausse and Roland Chapuis and Sebastien Bonnet},
  journal={2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems},
  year={2008},
  pages={195-201}
}
We have previously proposed a Bayesian framework to fuse at feature level information from a lidar and video camera in order to classify pedestrians. After studying the influence of each stage of the computation on the system performance, it appears that object segmentation and sensor models are essential for good results. In this paper, we propose some… CONTINUE READING