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SPARTAN project: On profiling computer vision algorithms for rover navigation

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5 Author(s)
Diamantopoulos, D. ; Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece ; Siozios, K. ; Lentaris, G. ; Soudris, D.
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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