We present the DLR Planetary Stereo, Solid-State LiDAR, Inertial (S3LI) dataset, recorded
on Mt. Etna, Sicily, an environment analogous to the Moon and Mars, using a hand-held …

Place recognition is critical for both offline mapping and online localization. However,
current single-sensor based place recognition still remains challenging in adverse …

Accurate obstacle detection plays a crucial role in the creation of high-precision maps within
unstructured terrain environments, as it supplies vital decision-making information for …

Simultaneous Localization and Mapping (SLAM) techniques play a key role towards long-
term autonomy of mobile robots due to the ability to correct localization errors and produce …

Future planetary missions will rely on rovers that can autonomously explore and navigate in
unstructured environments. An essential element is the ability to recognize places that were …

The vast amount of data captured by robots in large-scale environments brings the
computing and storage bottlenecks to the typical methods of modeling the spaces the robots …

Scientific and engineering applications of solid-state light detection and ranging (LiDAR)
sensors with no rotating mechanisms and a limited field of view have attracted research …

In planetary environments with extreme visual aliasing, traditional place recognition systems
for robots encounter difficulties in unstructured and aliased environments. Effective place …

Teams of mobile robots will play a key role towards future planetary exploration missions. In
fact, plans for upcoming lunar exploration, and other extraterrestrial bodies, foresee an …

Simultaneous Localization and Mapping (SLAM) in unstructured planetary environments is a
challenging task for mobile robots due to the appearance and structure of the environment …