@misc{cogprints3754,
           title = {Bayesian Programming Multi-Target Tracking: an Automotive Application},
          author = {C Coue and C Pradalier and C Laugier},
            year = {2003},
        keywords = {Bayesian reasonning, multi-sensor target tracking},
             url = {http://cogprints.org/3754/},
        abstract = {A prerequisite to the design of future Advanced
Driver Assistance Systems for cars is a sensing system
providing all the information required for high-level driving
assistance tasks. In particular, target tracking is still
challenging in urban trafc situations, because of the large
number of rapidly maneuvering targets. The goal of this
paper is to present an original way to perform target position
and velocity, based on the occupancy grid framework. The
main interest of this method is to avoid the decision problem
of classical multi-target tracking algorithms. Obtained
occupancy grids are combined with danger estimation to
perform an elementary task of obstacle avoidance with an
electric car.}
}

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