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Novel Multi-IMU Tight Coupling Pedestrian Localization Exploiting Biomechanical Motion Constraints.

, , and . Sensors, 20 (18): 5364 (2020)

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Points of Interest Identification: A Case Study in Beijing Metropolitan Area., , and . ISC2, page 1-7. IEEE, (2022)3D Loose-Coupled Fusion of Inertial Sensors for Pedestrian Localization., and . IPIN, page 206-212. IEEE, (2018)Exploiting wearable devices for the calibration of inertial navigation systems., , and . IPIN, page 1-5. IEEE, (2017)Wearable-based pedestrian inertial navigation with constraints based on biomechanical models., and . PLANS, page 118-123. IEEE, (2018)Automatic Calibration of the Step Length Model of a Pocket INS by Means of a Foot Inertial Sensor., , and . Sensors, 20 (7): 2083 (2020)Smartphone-Based Localization for Passengers Commuting in Traffic Hubs., , and . Sensors, 22 (19): 7199 (2022)IMU-based Characterization of the Leg for the Implementation of Biomechanical Models., , , , and . IPIN, page 1-8. IEEE, (2019)A Novel Lightweight Particle Filter for Indoor Localization., , , , and . IPIN, page 1-8. IEEE, (2019)Novel Multi-IMU Tight Coupling Pedestrian Localization Exploiting Biomechanical Motion Constraints., , and . Sensors, 20 (18): 5364 (2020)Performance comparison of wearable-based pedestrian navigation systems in large areas., , and . IPIN, page 1-7. IEEE, (2017)