  Various meteor and fireball networks exist worldwide. Most data sets which
include ground-based observational data of meteors are affected by biases. The
larger and faster the entering meteoroid, the brighter is the produced meteor.
Hence, small and slow objects often stay undetected. This bias of meteor
observations towards faster meteoroids is a challenge if quantitative
population and flux models are derived. In this work the velocity distribution
of objects in space is analysed by using different data sets that are not
affected by this velocity bias since they include only large objects, like the
near-Earth object (NEO) risk list of ESA's (European Space Agency) SSA (Space
Situational Awareness) near-Earth object Coordination Centre (NEOCC), and the
fireballs in NASA's (National Aeronautics and Space Administration) CNEOS
(Center for near-Earth object Studies) JPL (Jet Propulsion Laboratory) fireball
database. Additionally, when only the largest objects recorded with the CILBO
(Canary Island Long-Baseline Observatory) camera setup were analysed, a very
similar distribution was shown. These velocity distributions are in good
agreement with a widely used velocity distribution for smaller sporadic
meteoroids in free space which was adopted as reference by the ECSS (European
Cooperation for Space Standardisation) Space Environment Standard.
