A new publication named “SLAM for autonomous planetary rovers with global localization” has been published in the Journal of Field Robotics, This publication describes the thesis performed from Dimitrios Geromichalos, with the collaboration of ESA (European Space Agency) and our team. This paper describes a novel approach to simultaneous localization and mapping (SLAM) techniques applied to the autonomous planetary rover exploration scenario to reduce both the relative and absolute localization errors, using two wellâ€proven techniques: particle filters and scan matching. You can read the full text in the link below.
Publications
New publication: Employing Source Code Quality Analytics for Enriching Code Snippets Data
The availability of code snippets in online repositories like GitHub has led to an uptick in code reuse, this way further supporting an open-source component-based development paradigm. The likelihood of code reuse rises when the Read more…