Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI)

arXiv:2308.11471v5 Announce Type: replace-cross
Abstract: This work targets what we consider to be the foundational step for urban airborne robots, a safe landing. Our attention is directed toward what we deem the most crucial aspect of the safe landing perception stack: segmentation. We present a streamlined reactive UAV system that employs visual servoing by harnessing the capabilities of open vocabulary image segmentation. This approach can adapt to various scenarios with minimal adjustments, bypassing the necessity for extensive data accumulation for …

abstract arxiv attention cs.ai cs.cv cs.ro dynamic foundational intelligence landing perception robots safe segmentation stack targets type urban visual work