A5103051296- Target Tracking and Data Fusion in Sensor Networks
- Inertial Sensor and Navigation
- Indoor and Outdoor Localization Technologies
- Robotics and Sensor-Based Localization
- GNSS positioning and interference
- Structural Health Monitoring Techniques
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2023-2024
Centre Tecnologic de Telecomunicacions de Catalunya
2019
Institut polytechnique de Grenoble
2019
Institute for Telecommunication Sciences
2019
La Salle University
2019
Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO)
2019
Universitat Politècnica de Catalunya
2019
Abstract State estimation techniques appear in a plethora of engineering fields, particular for the attitude application interest this contribution. A number filters have been devised problem, Kalman-type ones, but their standard form they are known to be fragile against outliers. In work, we focus on error-state filters, designed states living manifold, here unit-norm quaternions. We propose extensions based robust statistics, leading two M -type able tackle outliers either measurements,...
Advanced driver-assistance system (ADAS) and high levels of autonomy for vehicular applications require reliable precision pose information their functioning. Pose estimation comprises solving the localization orientation problems a rigid body in three-dimensional space. In outdoor scenarios, fusion Global Navigation Satellite Systems (GNSS) inertial data high-end receivers constitutes baseline ground truth solutions, such as Real-Time Kinematic (RTK) or Precise Point Positioning (PPP)....
Global Navigation Satellite Systems (GNSS) performance may be seriously degraded under harsh propagation conditions, or totally denied indoors. In such scenarios, to provide precise, accurate and reliable navigation information, GNSS must combined with other sources of information. this contribution, we leverage on the use Ultra-WideBand (UWB) based distance measurements Inertial (INS), a hybrid GNSS/UWB/INS sensor fusion strategy for robust seamless indoor/outdoor unmanned aerial vehicle...
Abstract State estimation techniques appear in a plethora of engineering fields, particular for the attitude application interest this contribution. A number filters have been devised problem, Kalmantype ones, but their standard form they are known to be fragile against outliers. In work, we focus on error-state filters, designed states living manifold, here unit norm quaternions. We propose extensions based robust statistics, leading two M-type able tackle outliers either measurements,...