Martian rock segmentation aims to separate rock pixels from background, which plays a
crucial role in downstream tasks, such as traversing and geologic analysis by Mars rovers …

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 …

In this paper we present the Rosario dataset, a collection of sensor data for autonomous
mobile robotics in agricultural scenes. The dataset is motivated by the lack of realistic sensor …

Background: The planetary rover is an essential platform for planetary exploration. Visual
semantic segmentation is significant in the localization, perception, and path planning of the …

Planetary rovers increasingly rely on vision‐based components for autonomous navigation
and mapping. Developing and testing these components requires representative optical …

Due to the complicated procedure and costly hardware, Simultaneous Localization and
Mapping (SLAM) has been heavily dependent on public datasets for drill and evaluation …

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 …

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 …

This paper presents a novel challenging dataset that offers a new landscape of testing
material for mobile robotics, autonomous driving research, and forestry operation. In contrast …

An essential characteristic that an exploration robot must possess is to be autonomous. This
is necessary because it will usually do its task in remote or hard-to-reach places. One of the …