Automated Driving Systems (ADS) today are deployed either in urban environments as level 4 robotaxis or on highways as level 3 highway pilots or level 4 trucks. In all cases, the ADS can only operate in deliberately defined environments and conditions also known as Operational Design Domain (ODD). While specifically choosing a suitable ODD, certain rather complex or unique dynamic traffic events cannot be easily removed from an ODD and therefore have to be handled by the ADS. This often exceeds the performance capacity of these systems and has slowed down the deployment of ADSs tremendously. Remote Driving Systems (RDS) can resolve many of these ODDrelated issues through human-in-the-loop decision-making. This allows RDSs to operate today as stand-alone technology or to be part of a mixed-mode system such as a remotely backed autonomy system. This is possible since the constraints arising from ODD limitations between ADSs and RDSs are often not identical but rather complementary. This paper elaborates on the need for a combined ODD of RDSs and ADSs using the PEGASUS layer to design the ODD and extend the possibilities of the application.