Inertial Sensor and Navigation
This cluster of papers focuses on the development and application of Inertial Navigation Systems (INS) and sensor fusion techniques, including Kalman filtering, attitude estimation, MEMS sensors, magnetic sensing, quaternion-based methods, GPS integration, and motion tracking. The research covers topics such as calibration, accuracy enhancement, real-time estimation, autonomous navigation, and observability analysis.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.