Referenced Items are not available for this document.
The exploration of Mars is one of the main goals for NASA/ESA, as confirmed by past and recent activities. One of the most challenging tasks for these missions is the autonomous robot's navigation. Existing approaches incorporate vision-based solutions and exhibit remarkable results in term of accuracy. Unfortunately, these approaches affect mostly computational and memory intensive algorithms running on software-level. In this paper, we introduce a novel methodology for efficient implementation of computer vision algorithms for the SPARTAN project (ExoMars 2018 mission). Experimental results prove the effectiveness of the introduced solution, as compared to a software-based implementation.
Published in:
Adaptive Hardware and Systems (AHS), 2012 NASA/ESA Conference on
Date of Conference: 25-28 June 2012
- Page(s):
- 174 - 181
- E-ISBN :
- 978-1-4673-1914-0
- Print ISBN:
- 978-1-4673-1915-7
- INSPEC Accession Number:
- 12935813
- Conference Location :
- Erlangen
- Digital Object Identifier :
- 10.1109/AHS.2012.6268647
- Product Type:
- Conference Publications
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