MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector

arXiv:2404.04155v1 Announce Type: new
Abstract: The segmentation and interpretation of the Martian surface play a pivotal role in Mars exploration, providing essential data for the trajectory planning and obstacle avoidance of rovers. However, the complex topography, similar surface features, and the lack of extensive annotated data pose significant challenges to the high-precision semantic segmentation of the Martian surface. To address these challenges, we propose a novel encoder-decoder based Mars segmentation network, termed MarsSeg. Specifically, we employ an encoder-decoder structure with …

abstract annotated data arxiv challenges cs.cv data exploration features however interpretation mars martian pivotal planning role segmentation semantic surface trajectory type