4 accepted papers
Ground segmentation is an essential preprocessing task for autonomous vehicles with 3D LiDARs. Nevertheless, current methods for ground segmentation fall short of achieving optimal performance, primarily hindered by under-segmentation, over-segmentation, slow-segmentation, and poor adaptability. Thi
Due to high expense of human labor one major challenge for semantic segmentation in real-world scenarios is the lack of sufficient pixel-level labels which is more serious when processing video data. To exploit unlabeled data for model training semi-supervised learning methods attempt to construct p…
We present VG-Swarm, a practical and effective method for aerial robots dynamic encirclement, which consists of a vision-based gene regulatory network (V-GRN) and a visual perception module. For each flying robot deployed with the proposed method, the relative spatial positions of the surrounding ro
Online path planning for multiple unmanned aerial vehicle (multi-UAV) systems is considered a challenging task. It needs to ensure collision-free path planning in real-time, especially when the multi-UAV systems can become very crowded on certain occasions. In this paper, we presented a vision-based…