A Comprehensive Review of Map-Matching Techniques

Abstract

The map matching method gets simpler with higher precision positioning systems, but because the positioning framework is still not sufficiently precise or too costly for marginal map matching in practice, it is still a hot research domain. Several researchers have worked on map-matching methods and reported their finding of in-depth studies of domain. This literature review provides extensive information on the above map-matching methods related to digital maps with respect to convergence and outline the problems, information sources, as well as future demands identified by industry/society. It focuses on past research work approaches, implementations, capabilities, and their weaknesses using linear search and citation chaining. Finally, this work concludes with recommendations of the future direction of research and ideas to develop new algorithms for advanced applications.

Research on the SLAM technology moving away from high-precision maps in the context of autonomous driving

“…The core requirements of autonomous driving systems are to be able to achieve accurate positioning and navigation in unknown environments, and to ensure that vehicles can travel safely and efficiently. To achieve this goal, high-precision maps are widely used in autonomous driving systems as an important auxiliary tool to provide accurate environmental information and navigation guidance [1].…”