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Massachusetts Institute of Technology

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

Abstract

dc:description.abstract

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.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wenberg, Dakota
Advisor dc:contributor.advisor
  • Linares, Richard

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/140202
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/140202

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Wenberg, Dakota. Method for Kalman Filtering Pose Estimates from Lidar Scans During the Landing Phase. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/140202