Position estimation by registration to planetary terrain

LIDAR-only and camera-only approaches to global localization in planetary environments have relied heavily on availability of elevation data. The low-resolution nature of available DEMs limits the accuracy of these methods. Availability of new high-resolution planetary imagery motivates the rover lo...

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Bibliographic Details
Published in2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems pp. 432 - 438
Main Authors Sheshadri, A., Peterson, K. M., Jones, H. L., Whittaker, William L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
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ISBN1467325104
9781467325103
DOI10.1109/MFI.2012.6343004

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Summary:LIDAR-only and camera-only approaches to global localization in planetary environments have relied heavily on availability of elevation data. The low-resolution nature of available DEMs limits the accuracy of these methods. Availability of new high-resolution planetary imagery motivates the rover localization method presented here. The method correlates terrain appearance with orthographic imagery. A rover generates a colorized 3D model of the local terrain using a panorama of camera and LIDAR data. This model is orthographically projected onto the ground plane to create a template image. The template is then correlated with available satellite imagery to determine rover location. No prior elevation data is necessary. Experiments in simulation demonstrate 2m accuracy. This method is robust to 30° differences in lighting angle between satellite and rover imagery.
ISBN:1467325104
9781467325103
DOI:10.1109/MFI.2012.6343004