Emerging data fusion methodology in multisensor integrated navigation for challenging environments

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With the increasing availability of low-cost sensors (MEMS IMUs, cameras, LiDARs etc.), the challenge is how to optimally integrate them to reach accurate and reliable navigation solution in challenging environments, e.g., GNSS degraded or denied environments. Meanwhile, the increasing demand for high quality multisensor integrated navigation is continually driving more and more research and development activities and applications. Hence, the long-term goal of this research is to develop the emerging data fusion methodology in multisensor integrated navigation for challenging environments. Its focus is placed on innovating multisensor integration strategies in consideration of rapid technological progress and economic productivity, enhancing system accuracy and reliability for the growing needs of seamless indoor and outdoor navigation, and exploring new applications.