Efficient Multi-branch Segmentation Network for Situation Awareness in Autonomous Navigation

arXiv:2404.00366v1 Announce Type: new
Abstract: Real-time and high-precision situational awareness technology is critical for autonomous navigation of unmanned surface vehicles (USVs). In particular, robust and fast obstacle semantic segmentation methods are essential. However, distinguishing between the sea and the sky is challenging due to the differences between port and maritime environments. In this study, we built a dataset that captured perspectives from USVs and unmanned aerial vehicles in a maritime port environment and analysed the data features. Statistical analysis revealed …

abstract arxiv autonomous cs.cv differences however navigation network precision real-time robust segmentation semantic situational awareness surface technology type vehicles