Semantic segmentation of Mars scenes has a crucial role in Mars rovers science missions.
Current convolutional neural network (CNN)-based composition of U-Net has powerful …

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 …

The point pair feature (PPF) is widely used in manufacturing for estimating 6-D poses. The
key to the success of PPF matching is to establish correct 3-D correspondences between the …

The goal of the Mars Sample Return campaign is to collect soil samples from the surface of
Mars and return them to Earth for further study. The samples will be acquired and stored in …

The NASA-ESA Mars Sample Return campaign would require transferring the sample tube
between the M2020 rover and the Sample Return Lander. For these two spacecraft to …

Autonomous Navigation of Planetary Rovers deepens the field of autonomously-driven
robotic systems and its application to planetary rovers. Based on the experience of previous …

Drone systems are being used everyday for many applications including delivery of goods
and surveillance systems, which require a reliable navigation system to allow for a safe and …

As part of a future mission to Mars currently studied by NASA and ESA, the Mars Sample
Return campaign aims to bring back the sample tubes collected by the Perseverance rover …

This study first attempts to observe the action of the CNN and then compares it to test
Projective Template Matching and Object Detection as new approaches. In the final model …