Avoidance of near misses or collisions is required for almost all
satellites on orbit, but it is of particular interest for manned
missions and spacecraft at densely populated regions. In order to avoid
these possible collisions, it is needed to determine a possible
conjunction and its associated uncertainty. Two main constraints must be
taken into account when a tool to forecast the collision risk of an
object is being developed: the high number of objects in space and the
accuracy of the catalogued object data. The number of objects on Earth
orbit makes impossible to propagate all the catalogued objects, thus
filtering and parallel processing techniques are presented. The accuracy
of the catalogued object data and the propagation of the error over the
time identify a position ellipsoid of error, whose behaviour has an
important influence on some parameters on the filtering techniques and
the way the collision probability is computed. Some collision
probability methods are presented.