Published March 2, 2021 | Version 1.0
Dataset Open

Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching

Pham, Tu-Hoa1
  • 1. Caltech/JPL
Contact person:
Pham, Tu-Hoa1
  • 1. Caltech/JPL

Description

We consider the problem of rover relocalization in the context of the notional Mars Sample Return campaign. In this campaign, a rover (R1) needs to be capable of autonomously navigating and localizing itself within an area of approximately 50 x 50 m using reference images collected years earlier by another rover (R0). We propose a visual localizer that exhibits robustness to the relatively barren terrain that we expect to find in relevant areas, and to large lighting and viewpoint differences between R0 and R1. The localizer synthesizes partial renderings of a mesh built from reference R0 images and matches those to R1 images. We evaluate our method on a dataset totaling 2160 images covering the range of expected environmental conditions (terrain, lighting, approach angle). Experimental results show the effectiveness of our approach. This work informs the Mars Sample Return campaign on the choice of a site where Perseverance (R0) will place a set of sample tubes for future retrieval by another rover (R1).

Files

vtsm-dataset.zip
Files (61.0 GB)
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md5:062ad7fbd153df99d06b15c3c813f3b8
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Other

A set of 2178 stereo images with calibration parameters and ground-truth pose provided by a motion capture system. See included README.pdf file for file structure. Cleared for release with URS number URS299897.

Other

Related Publication: Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching Pham, Tu-Hoa JPL eng

Other

Contact person: Pham, Tu-Hoa tu-hoa.pham@jpl.nasa.gov

Additional details

Created:
September 13, 2022
Modified:
November 18, 2022