  The capability to achieve high-precision positioning accuracy has been
considered as one of the most critical requirements for vehicle-to-everything
(V2X) services in the fifth-generation (5G) cellular networks. The
non-line-of-sight (NLOS) connectivity, coverage, reliability requirements, the
minimum number of available anchors, and bandwidth limitations are among the
main challenges to achieve high accuracy in V2X services. This work provides an
overview of the potential solutions to provide the new radio (NR) V2X users
(UEs) with high positioning accuracy in the future 3GPP releases. In
particular, we propose a novel selective positioning solution to dynamically
switch between different positioning technologies to improve the overall
positioning accuracy in NR V2X services, taking into account the locations of
V2X UEs and the accuracy of the collected measurements. Furthermore, we use
high-fidelity system-level simulations to evaluate the performance gains of
fusing the positioning measurements from different technologies in NR V2X
services. Our numerical results show that the proposed hybridized schemes
achieve a positioning error $\boldsymbol{\leq}$ 3 m with $\boldsymbol{\approx}$
76\% availability compared to $\boldsymbol{\approx}$ 55\% availability when
traditional positioning methods are used. The numerical results also reveal a
potential gain of $\boldsymbol{\approx}$ 56\% after leveraging the road-side
units (RSUs) to improve the tail of the UE's positioning error distribution,
i.e., worst-case scenarios, in NR V2X services.
