Satellite-pose estimation using IMU sensor data and Kalman filter with RF-433 Mhz powered communication and helical antenna design for ground station

Author:

Paneru BiplovORCID,Adhikari Ankit,Paneru BishwashORCID,Shah Krishna BikramORCID,Chhetri Sapkota Sanjog,Poudyal RamhariORCID,Poudyal Khem NarayanORCID

Publisher

Elsevier BV

Reference17 articles.

1. A GNSS/LiDAR/IMU pose estimation system based on collaborative fusion of factor map and filtering;Chen;Rem. Sens.,2023

2. Pose estimation of a mobile robot based on fusion of IMU data and vision data using an extended kalman filter;Alatise;Sensors,2017

3. Pose estimation of unmanned aerial vehicles based on a VISION-aided multi-sensor FUSION;Samadzadegan;ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2016

4. LiDAR-stabilised GNSS-IMU platform pose tracking;D'Adamo;Sensors,2022

5. Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement;Chen,2019

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