  Placement of sensors on vehicles for safety and autonomous capability is a
complex optimization problem when considered in the full-blown form, with
different constraints. Considering that Quantum Computers are expected to be
able to solve certain optimization problems more "easily" in the future, the
problem was posted as part of the BMW Quantum Computing Challenge 2021. In this
paper, we have presented two formulations for quantum-enhanced solutions in a
systematic manner. In the process, necessary simplifications are invoked to
accommodate the current capabilities of Quantum Simulators and Hardware. The
presented results and observations from elaborate simulation studies
demonstrate the correct functionality and usefulness of the proposals.
