NAVKA – A New Generation of Low-Cost Multisensor Navigation Technologies based on GNSS /MEMS/MOEMS
Prof Dr Reiner Jäger, Julia Diekert, Andreas Hoscislawski, Jan Zwiener, Stephan Batke, Axel Lorenz
The expansion of GNSS, such as through Galileo and global positioning services, has made satellite positioning the driving force behind innovative navigation technologies. Here, the algorithmic fusion of GNSS data with Micro-Opto- Electro-Mechanical Systems (MOEMS) / Micro-Electro-Mechanical Systems (MEMS) sensors is the only way to fully exploit the development and market potential at hand. The NAV KA navigation algorithms have been developed ona new multisensor, multiplatform lever-arm design and work optimally with closely coupled and distributed GNSS/MEMS/MEOMS single sensors and platforms. Smartphones are integrated as a sensor and ICT component to offer people and vehicles multimodal mobility in modern society. A general M-estimation concept provides for optimal sensor accuracy, robustness, and self-calibration. This helps NAV KA exploit movement modes, dynamic state-detection data, constraints, and inequalities on the fly during navigation state estimation. Meanwhile, the team is also developing bootable navigation box firmware for ground/water/ air robotics, flight control of manned aerial vehicles, in/outdoor personal navigation, structural monitoring, and mobile GIS. Concerning GNSS, it focuses on OPPP and ambiguity solutions for low-cost systems.