Indoor navigation and positioning,as an important cornerstone and one of the key technologies of urban digital transformation,plays a crucial role in the development and construction of smart cities.However,due to the complex and ever-changing indoor environment,spatial structure layout,indoor pe-destrian activities,etc.,achieving accurate,reliable and universal indoor positioning to meet the needs of mass positioning and effectively promote the development of smart cities still faces great chal-lenges.With the advantages of the dead reckoning positioning method based on micro-inertial measurement units(MIMU),including small size,low cost,strong autonomy and high real-time performance,as well as the widespread coverage of existing Wi-Fi signals that do not require addi-tional equipment deployment,indoor positioning technology based on MIMU and Wi-Fi has gained significant attention for its extensive research value and significance.The indoor positioning meth-ods based on MIMU and Wi-Fi are mainly reviewed.Firstly,the principle of MIMU-based indoor positioning methods is classified and explained,and the problems and research status of MIMU-based indoor positioning are summarized.Secondly,the limitations and challenges of Wi-Fi-based indoor positioning methods are analyzed,with a focus on summarizing the current research status of machine-learning-based Wi-Fi fingerprint indoor positioning methods.Thirdly,the existing fu-sion positioning methods based on MIMU and Wi-Fi are systematically compared and analyzed by considering their advantages,disadvantages,and applications respectively.Finally,the future de-velopment trends of MIMU and Wi-Fi based positioning methods are prospected.
维普
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