The combination of data from multiple sensors, also known as sensor fusion or data fusion,
is a key aspect in the design of autonomous robots. In particular, algorithms able to …

In recent years, technological advancements have made a promising impact on the
development of autonomous vehicles. The evolution of electric vehicles, development of …

The presence of mobile robots in indoor environments is becoming increasingly significant.
While there are algorithms such as SLAM that allow robots to navigate these environments …

Scan matching is an important task, solved in the context of many high-level problems
including pose estimation, indoor localization, simultaneous localization and mapping and …

The nuts and bolts of autonomous driving find its root in devising the localization strategy.
Lidar as one of the newest technologies developed in the recent years, provides rich …

The use of three-dimensional registration techniques is an important component for sensor-
based localization and mapping. Several approaches have been proposed to align three …

The development of fully autonomous driving vehicles has become a key focus for both
industry and academia over the past decade, fostering significant progress in situational …

Lo que define a un robot completamente autónomo es su capacidad para percibir el
entorno, comprenderlo y poder desplazarse en el para realizar las tareas encomendadas …