Semantic segmentation of Martian terrain is crucial for the route planning and autonomous
navigation of rovers on Mars. However, existing methods are restricted to structured or semi …

Monocular Re-Localization (MRL) is an essential component in autonomous applications,
estimating 6 degree-of-freedom ego poses wrt the scene map using monocular images …

The Martian atmospheric waves perturbation Datasets (MAWPD) version 2.0 is the first
observation-based climatology dataset of Martian atmospheric waves. It contains …

The rapid developments of mobile robotics and autonomous navigation over the years are
largely empowered by public datasets for testing and upgrading, such as sensor odometry …

Suitable datasets are an integral part of robotics research, especially for training neural
networks in robot perception. However, in many domains, suitable real-world data are …

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 …

With the advanced request to employ a team of robots to perform a task collaboratively, the
research community has become increasingly interested in collaborative simultaneous …

Visual navigation is an essential part of planetary rover autonomy. Rock segmentation
emerged as an important interdisciplinary topic among image processing, robotics, and …

Feature-based SLAM heavily relies on the specific type of visual features employed, as
illustrated in Fig. 1. The most effective feature in some conditions may perform worse or not …

Terrain-aware perception holds the potential to improve the robustness and accuracy of
autonomous robot navigation in the wilds, thereby facilitating effective off-road traversals …