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: Deep Reinforcement Learning and Imitation Learning for Autonomous Parking Simulation
In recent years, system intelligence has revolutionized various domains, including the automotive industry, which has fully incorporated intelligence through the emergence of Advanced Driver Assistance Systems (ADAS). Within this transformative context, Autonomous Parking Systems (APS) Read more…