Method for Kalman Filtering Pose Estimates from Lidar Scans During the Landing Phase

The Massachusetts Institute of Technology’s Lincoln Laboratory is developing a Lidar scanner to be used on a notional lander mission to Europa, a moon of Jupiter. The goal of this mission is to land safely on the unexplored rough terrain of the moon and analyze samples to detect the possibility of l...

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Main Author: Wenberg, Dakota
Other Authors: Linares, Richard
Format: Thesis
Published: Massachusetts Institute of Technology 2022
Online Access:https://hdl.handle.net/1721.1/140202
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author Wenberg, Dakota
author2 Linares, Richard
author_facet Linares, Richard
Wenberg, Dakota
author_sort Wenberg, Dakota
collection MIT
description The Massachusetts Institute of Technology’s Lincoln Laboratory is developing a Lidar scanner to be used on a notional lander mission to Europa, a moon of Jupiter. The goal of this mission is to land safely on the unexplored rough terrain of the moon and analyze samples to detect the possibility of life in the subsurface oceans. A critical component to a safe landing is the ability to accurately estimate the state of the lander as it descends. This paper proposes the application of sensor fusion system that combines Inertial Measurement Unit measurements with relative pose data extracted from Lidar scans using an Extended Kalman Filter. The results show that the proposed system can accurately estimate the state in the Z and X axes while further improvements are required to increase the accuracy of the Y axis and the orientation.
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spelling mit-1721.1/1402022022-02-08T03:05:23Z Method for Kalman Filtering Pose Estimates from Lidar Scans During the Landing Phase Wenberg, Dakota Linares, Richard Massachusetts Institute of Technology. Department of Mechanical Engineering The Massachusetts Institute of Technology’s Lincoln Laboratory is developing a Lidar scanner to be used on a notional lander mission to Europa, a moon of Jupiter. The goal of this mission is to land safely on the unexplored rough terrain of the moon and analyze samples to detect the possibility of life in the subsurface oceans. A critical component to a safe landing is the ability to accurately estimate the state of the lander as it descends. This paper proposes the application of sensor fusion system that combines Inertial Measurement Unit measurements with relative pose data extracted from Lidar scans using an Extended Kalman Filter. The results show that the proposed system can accurately estimate the state in the Z and X axes while further improvements are required to increase the accuracy of the Y axis and the orientation. S.M. 2022-02-07T15:30:05Z 2022-02-07T15:30:05Z 2021-09 2021-09-30T17:31:40.262Z Thesis https://hdl.handle.net/1721.1/140202 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology
spellingShingle Wenberg, Dakota
Method for Kalman Filtering Pose Estimates from Lidar Scans During the Landing Phase
title Method for Kalman Filtering Pose Estimates from Lidar Scans During the Landing Phase
title_full Method for Kalman Filtering Pose Estimates from Lidar Scans During the Landing Phase
title_fullStr Method for Kalman Filtering Pose Estimates from Lidar Scans During the Landing Phase
title_full_unstemmed Method for Kalman Filtering Pose Estimates from Lidar Scans During the Landing Phase
title_short Method for Kalman Filtering Pose Estimates from Lidar Scans During the Landing Phase
title_sort method for kalman filtering pose estimates from lidar scans during the landing phase
url https://hdl.handle.net/1721.1/140202
work_keys_str_mv AT wenbergdakota methodforkalmanfilteringposeestimatesfromlidarscansduringthelandingphase